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Journal papers
2024
Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Salman Khan, Fahad Khan,
"ELGC-Net: Efficient Local- Global Context Aggregation for Remote Sensing Change Detection",
IEEE Transactions on Geoscience and Remote Sensing,
62,
2024.
Jan Thies Brockmann, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt,
"The voraus-AD Dataset for Anomaly Detection in Robot Applications",
IEEE Transactions on robotics,
40:
438-451, 2024.
Long Li, Junwei Han, Nian Liu, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Khan,
"Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
46(1):
479-496, 2024.
Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Khan, Thomas B. Moeslund, Mubarak Shah,
"Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
46(1):
525-542, 2024.
Jyoti Kini, Fahad Khan, Salman Khan, Mubarak Shah,
"CT-VOS: Cutout prediction and tagging for self-supervised video object segmentation",
Computer Vision and Image Understanding,
238,
2024.
2023
Michael Zwölfer, Dieter Heinrich, Bastian Wandt, Helge Rhodin, Jörg Spörri, Werner Nachbauer,
"A graph-based approach can improve keypoint detection of complex poses: a proof-of-concept on injury occurrences in alpine ski racing",
Scientific Reports,
13(1),
2023.
Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Khan, Ling Shao, Joost van de Weijer,
"Generative Multi-Label Zero-Shot Learning",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
45(12):
14611-14624, 2023.
Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson,
"Deep Learning for Model-Based Multiobject Tracking",
IEEE Transactions on Aerospace and Electronic Systems,
59(6):
7363-7379, 2023.
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander Faxén, Christoffer Petersson, David Fernandez Llorca,
"Towards explainable motion prediction using heterogeneous graph representations",
Transportation Research Part C,
157,
2023.
Salman Khan, Fahad Khan, Ashish Vaswani, Niki Parmar, Ming-Hsuan Yang, Mubarak Shah,
"Guest Editorial Introduction to the Special Section on Transformer Models in Vision",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
45(11):
12721-12725, 2023.
Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter,
"Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks",
IEEE Transactions on Image Processing,
32:
5737-5750, 2023.
Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Khan, Shangling Jui, Jian Yang, Joost van de Weijer,
"MineGAN plus plus : Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains",
International Journal of Computer Vision,
132(2):
490-514, 2023.
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Khan, Huazhu Fu,
"Transformers in medical imaging: A survey",
Medical Image Analysis,
88,
2023.
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander Faxén, Christoffer Petersson, Miguel Angel Sotelo, David Fernandez Llorca,
"Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs",
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, (Epub ahead of print),
2023.
Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Khan, Fatih Porikli,
"Stylized Adversarial Defense",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
45(5):
6403-6414, 2023.
Sajid Javed, Martin Danelljan, Fahad Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas,
"Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
45(5):
6552-6574, 2023.
Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Khan, Radu Tudor Ionescu,
"CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation",
Neurocomputing,
538,
2023.
Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Khan, Thomas B. Moeslund, Mubarak Shah,
"SSMTL plus plus : Revisiting self-supervised multi-task learning for video anomaly detection",
Computer Vision and Image Understanding,
229,
2023.
Emil Brissman, Joakim Johnander, Martin Danelljan, Michael Felsberg,
"Recurrent Graph Neural Networks for Video Instance Segmentation",
International Journal of Computer Vision,
131:
471-495, 2023.
Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao,
"SipMaskv2: Enhanced Fast Image and Video Instance Segmentation",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
45(3):
3798-3812, 2023.
Krešimir Bešenić, Jörgen Ahlberg, Igor S. Pandžić,
"Picking out the bad apples: unsupervised biometric data filtering for refined age estimation",
The Visual Computer,
39:
219-237, 2023.
2022
Salman Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Khan, Mubarak Shah,
"Transformers in Vision: A Survey",
ACM Computing Surveys,
54(10),
2022.
Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Khan, Steven Hoi,
"Distilled Siamese Networks for Visual Tracking",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
44(12):
8896-8909, 2022.
K. J. Joseph, Jathushan Rajasegaran, Salman Khan, Fahad Khan, Vineeth N. Balasubramanian,
"Incremental Object Detection via Meta-Learning",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
44(12):
9209-9216, 2022.
Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Khan,
"Guidance Through Surrogate: Toward a Generic Diagnostic Attack",
IEEE Transactions on Neural Networks and Learning Systems, (Epub ahead of print),
2022.
Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao,
"From Handcrafted to Deep Features for Pedestrian Detection: A Survey",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
44(9):
4913-4934, 2022.
2021
Maria Magnusson, Michael Sandborg, Gudrun Alm Carlsson, Lilian Henriksson, Åsa Carlsson Tedgren, Alexandr Malusek,
"ACCURACY OF CT NUMBERS OBTAINED BY DIRA AND MONOENERGETIC PLUS ALGORITHMS IN DUAL-ENERGY COMPUTED TOMOGRAPHY",
Radiation Protection Dosimetry,
195(3-4):
212-217, 2021.
Julius Jeuthe, José Carlos González Sánchez, Maria Magnusson, Michael Sandborg, Åsa Carlsson Tedgren, Alexandr Malusek,
"Semi-Automated 3D Segmentation of Pelvic Region Bones in CT Volumes for the Annotation of Machine Learning Datasets",
Radiation Protection Dosimetry,
195(3-4):
172-176, 2021.
Maria Magnusson, Gudrun Alm Carlsson, Michael Sandborg, Åsa Carlsson Tedgren, Alexandr Malusek,
"Optimal Selection of Base Materials for Accurate Dual-Energy Computed Tomography: Comparison Between the Alvarez–Macovski Method and DIRA",
Radiation Protection Dosimetry,
195(3-4):
218-224, 2021.
Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg,
"Graph representation learning for road type classification",
Pattern Recognition,
120,
2021.
Juhar Ahmed Abdella, N. M. Zaki, Khaled Shuaib, Fahad Khan,
"Airline ticket price and demand prediction: A survey",
Journal of King Saud University - Computer and Information Sciences,
33(4):
375-391, 2021.
Ivan Gogic, Jörgen Ahlberg, Igor S. Pandzic,
"Regression-based methods for face alignment: A survey",
Signal Processing,
178,
2021.
Zahra Gharaee,
"Online recognition of unsegmented actions with hierarchical SOM architecture",
Cognitive Processing,
22:
77-91, 2021.
2020
Zahra Gharaee,
"Hierarchical growing grid networks for skeleton based action recognition",
Cognitive Systems Research,
63:
11-29, 2020.
Wojciech Chojnacki, Zygmunt L. Szpak, Mårten Wadenbäck,
"The equivalence of two definitions of compatible homography matrices",
Pattern Recognition Letters,
135:
38-43, 2020.
Anderson Tavares, Felix Järemo-Lawin, Per-Erik Forssén,
"Assessing Losses for Point Set Registration",
IEEE Robotics and Automation Letters,
5(2):
3360-3367, 2020.
Ivan Gogic, Martina Manhart, Igor S. Pandzic, Jörgen Ahlberg,
"Fast facial expression recognition using local binary features and shallow neural networks",
The Visual Computer,
36(1):
97-112, 2020.
Jose Carlos Gonzalez Sanchez, Maria Magnusson, Michael Sandborg, Åsa Carlsson Tedgren, Alexandr Malusek,
"Segmentation of bones in medical dual-energy computed tomography volumes using the 3D U-Net",
Physica medica (Testo stampato),
69:
241-247, 2020.
Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Khan,
"GPS-level accurate camera localization with HorizonNet",
Journal of Field Robotics,
37(6):
951-971, 2020.
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan,
"Confidence Propagation through CNNs for Guided Sparse Depth Regression",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
42(10),
2020.
2019
Tobias Klamt, Diego Rodriguez, Lorenzo Baccelliere, Xi Chen, Domenico Chiaradia, Torben Cichon, Massimiliano Gabardi, Paolo Guria, Karl Holmquist, Malgorzata Kamedula, Hakan Karaoguz, Navvab Kashiri, Arturo Laurenzi, Christian Lenz, Daniele Leonardis, Enrico Mingo Hoffman, Luca Muratore, Dmytro Pavlichenko, Francesco Porcini, Zeyu Ren, Fabian Schilling, Max Schwarz, Massimiliano Solazzi, Michael Felsberg, Antonio Frisoli, Michael Gustmann, Patric Jensfelt, Klas Nordberg, Juergen Rossmann, Uwe Suess, Nikos G. Tsagarakis, Sven Behnke,
"Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO System",
IEEE robotics & automation magazine,
26(4):
59-72, 2019.
Maria Magnusson, Magnus Björnfot, Åsa Carlsson Tedgren, Gudrun Alm Carlsson, Michael Sandborg, Alexandr Malusek,
"DIRA-3D-a model-based iterative algorithm for accurate dual-energy dual-source 3D helical CT",
Biomedical Engineering & Physics Express,
5(6),
2019.
Hannes Ovrén, Per-Erik Forssén,
"Trajectory representation and landmark projection for continuous-time structure from motion",
The international journal of robotics research,
38(6):
686-701, 2019.
Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Khan,
"Synthetic Data Generation for End-to-End Thermal Infrared Tracking",
IEEE Transactions on Image Processing,
28(4):
1837-1850, 2019.
Nenad Markus, Igor S. Pandzic, Jörgen Ahlberg,
"Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning From Unlabeled Videos and 3D-Shape Retrieval",
IEEE Transactions on Image Processing,
28(1):
279-290, 2019.
Martin Danelljan, Goutam Bhat, Susanna Gladh, Fahad Shahbaz Khan, Michael Felsberg,
"Deep motion and appearance cues for visual tracking",
Pattern Recognition Letters,
124:
74-81, 2019.
2018
Jörgen Ahlberg, Anders Åstrom, Robert Forchheimer,
"Simultaneous sensing, readout, and classification on an intensity-ranking image sensor",
International journal of circuit theory and applications,
46(9):
1606-1619, 2018.
Rao Muhammad Anwer, Fahad Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen,
"Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification",
ISPRS journal of photogrammetry and remote sensing (Print),
138:
74-85, 2018.
Lu Yu, Lichao Zhang, Joost van de Weijer, Fahad Khan, Yongmei Cheng, C. Alejandro Parraga,
"Beyond Eleven Color Names for Image Understanding",
Machine Vision and Applications,
29(2):
361-373, 2018.
Fahad Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen,
"Scale coding bag of deep features for human attribute and action recognition",
Machine Vision and Applications,
29(1):
55-71, 2018.
Kristoffer Öfjäll, Michael Felsberg,
"Approximative Coding Methods for Channel Representations",
Journal of Mathematical Imaging and Vision,
60(6):
929-940, 2018.
2017
Nolang Fanani, Alina Stuerck, Matthias Ochs, Henry Bradler, Rudolf Mester,
"Predictive monocular odometry (PMO): What is possible without RANSAC and multiframe bundle adjustment?",
Image and Vision Computing,
68,
2017.
Alexandr Malusek, Maria Magnusson, Michael Sandborg, Gudrun Alm Carlsson,
"A model-based iterative reconstruction algorithm DIRA using patient-specific tissue classification via DECT for improved quantitative CT in dose planning",
Medical physics (Lancaster),
44(6):
2345-2357, 2017.
Tahir Nawaz, Amanda Berg, James Ferryman, Jörgen Ahlberg, Michael Felsberg,
"Effective evaluation of privacy protection techniques in visible and thermal imagery",
Journal of Electronic Imaging (JEI),
26(5),
2017.
Jan Heggenes, Arvid Odland, Tomas Chevalier, Jörgen Ahlberg, Amanda Berg, Håkan Larsson, Dag Bjerketvedt,
"Herbivore grazing—or trampling? Trampling effects by a large ungulate in cold high-latitude ecosystems",
Ecology and Evolution,
7(16):
6423-6431, 2017.
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg,
"Discriminative Scale Space Tracking",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
39(8):
1561-1575, 2017.
Freddie Åström, Michael Felsberg, George Baravdish,
"Mapping-Based Image Diffusion",
Journal of Mathematical Imaging and Vision,
57(3):
293-323, 2017.
2016
Amanda Berg, Jörgen Ahlberg, Michael Felsberg,
"Enhanced analysis of thermographic images for monitoring of district heat pipe networks",
Pattern Recognition Letters,
83(2):
215-223, 2016.
Giuseppe Bianco, Mihaela Ilieva, Clas Veibäck, Kristoffer Öfjäll, Alicja Gadomska, Gustaf Hendeby, Michael Felsberg, Fredrik Gustafsson, Susanne Åkesson,
"Emlen funnel experiments revisited: methods update for studying compass orientation in songbirds",
Ecology and Evolution,
6(19):
6930-6942, 2016.
Alexander Örtenberg, Maria Magnusson, Michael Sandborg, Gudrun Alm Carlsson, Alexandr Malusek,
"PARALLELISATION OF THE MODEL-BASED ITERATIVE RECONSTRUCTION ALGORITHM DIRA",
Radiation Protection Dosimetry,
169(1-4):
405-409, 2016.
Martin Kardell, Maria Magnusson, Michael Sandborg, Gudrun Alm Carlsson, Julius Jeuthe, Alexandr Malusek,
"AUTOMATIC SEGMENTATION OF PELVIS FOR BRACHYTHERAPYOF PROSTATE",
Radiation Protection Dosimetry,
169(1-4):
398-404, 2016.
Bertil Grelsson, Michael Felsberg, Folke Isaksson,
"Highly Accurate Attitude Estimation via Horizon Detection",
Journal of Field Robotics,
33(7):
967-993, 2016.
2015
Fahad Khan, Jiaolong Xu, Joost van de Weijer, Andrew D. Bagdanov, Rao Muhammad Anwer, Antonio M. Lopez,
"Recognizing Actions Through Action-Specific Person Detection",
IEEE Transactions on Image Processing,
24(11):
4422-4432, 2015.
Michael Felsberg, Kristoffer Öfjäll, Reiner Lenz,
"Unbiased decoding of biologically motivated visual feature descriptors",
Frontiers in Robotics and AI,
2(20),
2015.
Nenad Markuš, Marco Fratarcangeli, Igor Pandžić, Jörgen Ahlberg,
"Fast Rendering of Image Mosaics and ASCII Art",
Computer graphics forum (Print),
34(6):
251-261, 2015.
George Baravdish, Olof Svensson, Freddie Åström,
"On Backward p(x)-Parabolic Equations for Image Enhancement",
Numerical Functional Analysis and Optimization,
36(2):
147-168, 2015.
Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen,
"Compact color–texture description for texture classification",
Pattern Recognition Letters,
51:
16-22, 2015.
2014
Fahad Shahbaz Khan, Shida Beigpour, Joost van de Weijer, Michael Felsberg,
"Painting-91: a large scale database for computational painting categorization",
Machine Vision and Applications,
25(6):
1385-1397, 2014.
Fahad Khan, Joost van de Weijer, Rao Muhammad Anwer, Michael Felsberg, Carlo Gatta,
"Semantic Pyramids for Gender and Action Recognition",
IEEE Transactions on Image Processing,
23(8):
3633-3645, 2014.
Erik Ringaby, Per-Erik Forssén, Ola Friman, Thomas Olsvik Opsahl, Trym Vegard Haavardsholm, Ingebjørg Kåsen,
"Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification",
IEEE Transactions on Image Processing,
23(5):
2302-2314, 2014.
2013
Fahad Shahbaz Khan, Muhammad Anwer Rao, Joost van de Weijer, Andrew Bagdanov, Antonio Lopez, Michael Felsberg,
"Coloring Action Recognition in Still Images",
International Journal of Computer Vision,
105(3):
205-221, 2013.
Vasileios Zografos, Reiner Lenz, Michael Felsberg,
"The Weibull manifold in low-level image processing: an application to automatic image focusing.",
Image and Vision Computing,
31(5):
401-417, 2013.
Alexandr Malusek, Mattias Karlsson, Maria Magnusson, Gudrun Alm Carlsson,
"The potential of dual-energy computed tomography for quantitative decomposition of soft tissues to water, protein and lipid in brachytherapy",
Physics in Medicine and Biology,
58(4):
771-785, 2013.
David Windridge, Michael Felsberg, Affan Shaukat,
"A Framework for Hierarchical Perception–Action Learning Utilizing Fuzzy Reasoning",
IEEE transactions on systems, man and cybernetics. Part B. Cybernetics,
43(1):
155-169, 2013.
Michael Felsberg, Fredrik Larsson, Johan Wiklund, Niclas Wadströmer, Jörgen Ahlberg,
"Online Learning of Correspondences between Images",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
35(1):
118-129, 2013.
2012
Erik Ringaby, Per-Erik Forssén,
"Efficient Video Rectification and Stabilisation for Cell-Phones",
International Journal of Computer Vision,
96(3):
335-352, 2012.
2011
Liam Ellis, Nicholas Dowson, Jiri Matas, Richard Bowden,
"Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking",
International Journal of Computer Vision,
95(2):
154-179, 2011.
Freddie Åström, Rasit Koker,
"A parallel neural network approach to prediction of Parkinson´s Disease",
Expert systems with applications,
38(10):
12470-12474, 2011.
Klas Nordberg,
"The Key to Three-View Geometry",
International Journal of Computer Vision,
94(3):
282-294, 2011.
Fredrik Larsson, Michael Felsberg, Per-Erik Forssen,
"Correlating Fourier descriptors of local patches for road sign recognition",
IET Computer Vision,
5(4):
244-254, 2011.
Michael Felsberg,
"Autocorrelation-Driven Diffusion Filtering",
IEEE Transactions on Image Processing,
20(7):
1797-1806, 2011.
2010
Marcus Wallenberg, Per-Erik Forssén,
"Embodied Object Recognition using Adaptive Target Observations",
Cognitive Computation,
2(4):
316-325, 2010.
Fredrik Viksten, Per-Erik Forssén, Björn Johansson, Anders Moe,
"Local Image Descriptors for Full 6 Degree-of-Freedom Object Pose Estimation and Recognition",
-, (Submitted),
2010.
AbstractKeywordsBiBTeX
2009
Klas Nordberg,
"The triangulation tensor",
Computer Vision and Image Understanding,
113(9):
935-945, 2009.
Michael Felsberg, Johan Wiklund, Gösta Granlund,
"Exploratory learning structures in artificial cognitive systems",
Image and Vision Computing,
27(11):
1671-1687, 2009.
Erik Jonsson, Michael Felsberg,
"Efficient computation of channel-coded feature maps through piecewise polynomials",
Image and Vision Computing,
27(11):
1688-1694, 2009.
Gösta Granlund,
"Special issue on Perception, Action and Learning",
Image and Vision Computing,
27(11):
1639-1640, 2009.
Fredrik Larsson, Erik Jonsson, Michael Felsberg,
"Simultaneously learning to recognize and control a low-cost robotic arm",
Image and Vision Computing,
27(11):
1729-1739, 2009.
Björn Johansson, Johan Wiklund, Per-Erik Forssén, Gösta Granlund,
"Combining shadow detection and simulation for estimation of vehicle size and position",
PATTERN RECOGNITION LETTERS,
30(8):
751-759, 2009.
Michael Felsberg, Sinan Kalkan, Norbert Krüger,
"Continuous dimensionality characterization of image structures",
Image and Vision Computing,
27(6):
628-636, 2009.
Per-Erik Forssen, Anders Moe,
"View matching with blob features",
Image and Vision Computing,
27(1-2):
99-107, 2009.
2008
Michael Felsberg,
"COSPAL -- A Study on Artificial Cognitive Systems",
Engineering & technology,
3(18),
2008.
KeywordsBiBTeX
2007
Remco Duits, Michael Felsberg, Gösta Granlund, Bart M. ter Haar Romeny,
"Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group",
International Journal of Computer Vision,
72(1):
79-102, 2007.
Michael Felsberg, Johan Hedborg,
"Real-Time View-Based Pose Recognition and Interpolation for Tracking Initialization",
Journal of Real-Time Image Processing,
2(2-3):
103-115, 2007.
Michael Felsberg, Reinhard Koch,
"Editorial for the special issue on markerless real-time tracking for augmented reality image synthesis",
Journal of Real-Time Image Processing,
2(2-3):
67-68, 2007.
Jigna Chandaria, Graham Thomas, Bogumil Bartczak, Reinhard Koch, Mario Becker, Gabriele Bleser, Didier Stricker, Cedric Wohlleber, Fredrik Gustafsson, Michael Felsberg, Jeroen Hol, Thomas Schön, Johan Skoglund, Per Slycke, Sebastiaan Smeitz,
"Real-Time Camera Tracking in the MATRIS Project",
Smpte Journal,
116(7-8):
266-271, 2007.
AbstractKeywordsBiBTeX
2006
Björn Johansson, Tommy Elfving, Vladimir Kozlov, Y. Censor, Per-Erik Forssén, Gösta Granlund,
"The application of an oblique-projected Landweber method to a model of supervised learning",
Mathematical and computer modelling,
43(7-8):
892-909, 2006.
Michael Felsberg, P.-E. Forssen, H. Scharr,
"Channel smoothing: Efficient robust smoothing of low-level signal features",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
28(2):
209-222, 2006.
Klas Nordberg, Patrick Doherty, Per-Erik Forssén, Johan Wiklund, Per Andersson,
"A flexible runtime system for image processing in a distributed computational environment for an unmanned aerial vehicle",
International Journal of Pattern Recognition and Artificial Intelligence,
20(5):
763-780, 2006.
Luis Merino, Johan Wiklund, Fernando Caballero, Anders Moe, Jose Ramiro Martinez-de Dios, Per-Erik Forssén, Klas Nordberg, Annibal Ollero,
"Vision-Based Multi-UAV Position Estimation",
IEEE Robotics & Automation Magazine,
13(3):
53-62, 2006.
Maria Magnusson, Per-Erik Danielsson, Johan Sunnegårdh,
"Handling of Long Objects in Iterative Improvement of Non-Exact Reconstruction in Helical Cone-Beam CT",
IEEE Transactions on Medical Imaging,
25(7):
935-940, 2006.
Gösta Granlund,
"A Cognitive Vision Architecture Integrating Neural Networks with Symbolic Processing",
Künstliche Intelligenz,
18-24, 2006.
AbstractKeywordsBiBTeX
2005
Klas Nordberg, Gunnar Farnebäck,
"Estimation of orientation tensors for simple signals by means of second-order filters",
Signal Processing: Image Communication,
20(6):
582-594, 2005.
Anibal Ollero, Simon Lacroix, Luis Merino, Jeremi Gancet, Johan Wiklund, Volker Remuß, Iker Veiga Perez, Luis G. Gutiérrez, Domingos Xavier Viegas, Miguel Angel González Benitez, Anthony Mallet, Rachid Alami, Raja Chatila, Günter Hommel, F. J. Colmenero Lechuga, Begoña C. Arrue, Joaquin Ferruz, Jose Ramiro Martinez-de Dios, Fernando Caballero,
"Multiple Eyes in the Skies",
IEEE robotics & automation magazine,
12(2):
46-57, 2005.
Michael Felsberg, R. Duits, L. Florack,
"The Monogenic Scale Space on a Rectangular Domain and its Features",
International Journal of Computer Vision,
64(2--3),
2005.
Alexandr Malusek, Maria Magnusson Seger, Michael Sandborg, Gudrun Alm Carlsson,
"Effect of scatter on reconstructed image quality in cone beam CT: evaluation of a scatterreduction optimization function",
Radiation Protection Dosimetry,
114(1-3):
337-340, 2005.
2004
N. Kruger, Michael Felsberg,
"An explicit and compact coding of geometric and structural image information applied to stereo processing",
Pattern Recognition Letters,
25(8):
849-863, 2004.
Michael Felsberg, Gerald Sommer,
"The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space",
Journal of Mathematical Imaging and Vision,
21,
2004.
AbstractKeywordsBiBTeX
Gösta Granlund, Anders Moe,
"Unrestricted Recognition of 3-D Objects for Robotics Using Multi-Level Triplet Invariants",
Artificial Intelligence Magazine,
25(2):
51-67, 2004.
AbstractKeywordsBiBTeX
2001
Michael Felsberg, Gerald Sommer,
"The monogenic signal",
IEEE Transactions on Signal Processing,
49(12):
3136-3144, 2001.
Per-Erik Danielsson, Qingfen Lin, Qin-Zhong Ye,
"Efficient detection of second-degree variations in 2D and 3D images",
Journal of Visual Communication and Image Representation,
12(3):
255-305, 2001.
1999
1998
Hans Knutsson, Mats T. Andersson, Torbjörn Kronander, Magnus Hemmendorff,
"Spatio-temporal filtering of digital angiography image data",
Computer Methods and Programs in Biomedicine,
57(1-2):
115-123, 1998.
1996
Sisir Roy, Malay K. Kundu, Gösta H. Granlund,
"Uncertainty Relations and Time-Frequency Distributions for Unsharp Observables",
Information Sciences,
89(3-4):
193-209, 1996.
Carl-Johan Westelius, Carl-Fredrik Westin, Hans Knutsson,
"Focus of Attention Mechanisms using Normalized Convolution",
IEEE transactions on robotics and automation,
1996.
KeywordsBiBTeX
1994
Gösta H. Granlund, Hans Knutsson, Carl-Johan Westelius, Johan Wiklund,
"Issues in Robot Vision",
Image and Vision Computing,
12(3):
131-148, 1994.
1993
Jörgen Karlholm,
"Associative Memories with Short--Range Higher Order Couplings",
Neural Networks,
6(3):
409-421, 1993.
Håkan Bårman, Gösta H. Granlund, Leif Haglund,
"Feature Extraction for Computer-Aided Analysis of Mammograms",
International journal of pattern recognition and artificial intelligence,
7(6):
1339-1356, 1993.
1991
Josef Bigun, Gösta H. Granlund, Johan Wiklund,
"Multidimensional orientation estimation with applications to texture analysis and optical flow",
IEEE Transactions on Pattern Analysis and Machine Intelligence,
13(8):
775-790, 1991.
1990
Josef Bigün,
"A Structure Feature for Some Image Processing Applications Based on Spiral Functions",
Computer Vision, Graphics and Image Processing,
51(2):
166-194, 1990.
1988
Roland Wilson, Hans Knutsson,
"Uncertainty and Inference in the Visual System",
IEEE Transactions on Systems, Man and Cybernetics,
18(2):
305-312, 1988.
1987
J. H. Stern, Hans Knutsson, P. R. MacLeish,
"Divalent Cations Directly Affect the Conductance of Excised Patches of Rod Photoreceptor Membrane.",
Science,
236(4809):
1674-1678, 1987.
1986
P. R. MacLeish, Hans Knutsson, J. H. Stern,
"The Control of the Rod Outer Segment Conductance by Cyclic-GMP and Divalent Cations.",
Photobiochemistry and Photobiophysics,
13:
359-372, 1986.
KeywordsBiBTeX
1984
Ola Wahlström, Hans Knutsson,
"A Device for Generation of Electromagnetic Fields of Extremely Low Frequency",
Journal of Biomedical Engineering,
6(4):
293-296, 1984.
1983
Roland Wilson, Hans Knutsson, Gösta H. Granlund,
"Anisotropic Non-Stationary Image Estimation and its Applications: Part II. Predictive Image Coding",
IEEE Transactions on Communications,
31(3):
398-406, 1983.
AbstractKeywordsBiBTeX
Hans Knutsson, Roland Wilson, Gösta H. Granlund,
"Anisotropic Non-Stationary Image Estimation and its Applications: Part I. Restoration of Noisy Images",
IEEE Transactions on Communications,
COM--31(3):
388-397, 1983.
1980
Christer U. Petersson, Paul Edholm, Gösta H. Granlund, Hans E. Knutsson,
"Ectomography. A New Radiographic Reconstruction Method: II. Computer Simulated Experiments",
IEEE Transactions on Biomedical Engineering,
BME--27(11):
649-655, 1980.
Paul Edholm, Gösta Granlund, Hans Knutsson, C. Petersson,
"Ectomography: A New Radiographic Method for Reproducing a Selected Slice of Varying Thickness",
Acta Radiologica,
21(4):
433-442, 1980.
AbstractKeywordsBiBTeX
Hans E. Knutsson, Paul Edholm, Gösta H. Granlund, Christer U. Petersson,
"Ectomography. A New Radiographic Reconstruction Method: I. Theory and Error Estimates",
IEEE Transactions on Biomedical Engineering,
BME--27(11):
640-645, 1980.
1978
Gösta H. Granlund,
"In Search of a General Picture Processing Operator",
Computer Graphics and Image Processing,
8(2):
155-173, 1978.
1974
Gösta H. Granlund,
"Statistical Analysis of Chromosome Characteristics",
Pattern Recognition,
6(2):
115-126, 1974.
1973
Gösta H. Granlund,
"The Use of Distribution Functions to Describe Integrated Density Profiles of Human Chromosomes",
Journal of Theoretical Biology,
40(3):
573-589, 1973.
1972
Gösta H. Granlund,
"Fourier Preprocessing for Hand Print Character Recognition",
IEEE Transactions on Computers,
C--21(2):
195-201, 1972.
KeywordsBiBTeX
Books
2018
Michael Felsberg,
"Probabilistic and biologically inspired feature representations",
Morgan & Claypool Publishers, San Rafael,
No. 8(2),
2018.
2016
Rama Chellappa, Anders Heyden, Denis Laurendeau, Michael Felsberg, Magnus Borga,
"Special issue on ICPR 2014 awarded papers",
Elsevier,
No. Vol. 72,
2016.
1995
AbstractKeywordsBiBTeX
Book chapters
2023
Maria Magnusson, Gudrun Alm Carlsson, Michael Sandborg, Åsa Carlsson Tedgren, Alexandr Malusek,
"On the Choice of Base Materials for Alvarez–Macovski and DIRA Dual-energy Reconstruction Algorithms in CT",
Photon Counting Computed Tomography,
153-175, 2023.
2022
Michael Felsberg,
"Visual tracking: Tracking in scenes containing multiple moving objects",
Advanced Methods and Deep Learning in Computer Vision,
305-336, 2022.
KeywordsBiBTeX
2015
Hannes Ovrén, Per-Erik Forssén, David Törnqvist,
"Improving RGB-D Scene Reconstruction using Rolling Shutter Rectification",
New Development in Robot Vision, Cognitive Systems Monographs,
No. 23,
55-71, 2015.
Kristoffer Öfjäll, Michael Felsberg,
"Online Learning of Vision-Based Robot Control during Autonomous Operation",
New Development in Robot Vision, Cognitive Systems Monographs,
No. Vol. 23,
137-156, 2015.
2013
Reiner Lenz, Vasileios Zografos, Martin Solli,
"Dihedral Color Filtering",
Advanced Color Image Processing and Analysis,
119-145, 2013.
2012
Michael Felsberg,
"Adaptive Filtering using Channel Representations",
Mathematical Methods for Signal and Image Analysis and Representation, Computational Imaging and Vision,
No. 41,
31-48, 2012.
2007
Luis Merino, Fernando Caballero, Joaquín Ferruz, Johan Wiklund, Per-Erik Forssen, Anibal Ollero,
"Multi-UAV Cooperative Perception Techniques",
Multiple Heterogeneous Unmanned Aerial Vehicles, Springer Tracts in Advanced Robotics,
No. 37,
67-110, 2007.
Luis Merino, Fernando Caballero, Per-Erik Forssén, Johan Wiklund, Joaquín Ferruz, Jose Ramiro Martinez-de Dios, Anders Moe, Klas Nordberg, Anibal Ollero,
"Single and Multi-UAV Relative Position Estimation Based on Natural Landmarks",
Advances in Unmanned Aerial Vehicles, Microprocessor-Based and Intelligent Systems Engineering,
No. 33,
267-307, 2007.
2006
Gösta Granlund,
"Organization of Architectures for Cognitive Vision Systems",
Cognitive Vision Systems, Lecture Notes in Computer Science,
No. Vol. 3948,
37-55, 2006.
2003
Katarina Flood, Per-Erik Danielsson, Maria Magnusson Seger,
"On 3D scanning, reconstruction, enhancement, and segmentation of logs",
Image Analysis, Lecture Notes in Computer Science,
No. 2749,
733-740, 2003.
Gunnar Farnebäck,
"Two-frame motion estimation based on polynomial expansion",
Image Analysis, Lecture Notes in Computer Science,
No. 2749,
363-370, 2003.
Per-Erik Danielsson, Qingfen Lin,
"A modified fast marching method",
Image Analysis, Lecture Notes in Computer Science,
No. 2749,
1154-1161, 2003.
2000
Björn Johansson, Gösta Granlund,
"Fast selective detection of rotational symmetries using normalized inhibition",
Proceedings of the 6th European Conference on Computer Vision, Dublin, Ireland, June 26 - July 1, Part I, Lecture notes in computer science, 0302-9743,
No. 1842,
871-887, 2000.
Gösta H. Granlund,
"An Associative Perception-Action Structure using a Localized Space Variant Information Representation",
Algebraic Frames for the Perception-Action Cycle, Lecture Notes in Computer Science,
48-68, 2000.
1996
Morgan Ulvklo, Gösta H. Granlund, Hans Knutsson,
"Texture Gradient in Sparse Texture Fields",
Theory and Applications of Image Analysis II,
1996.
KeywordsBiBTeX
1995
AbstractKeywordsBiBTeX
Gösta H. Granlund, Jörgen Karlholm,
"Classification and Response Generation",
Signal Processing for Computer Vision,
367-397, 1995.
AbstractKeywordsBiBTeX
Carl-Fredrik Westin,
"Vector and Tensor Field Filtering",
Signal Processing for Computer Vision,
343-365, 1995.
AbstractKeywordsBiBTeX
Hans Knutsson, Leif Haglund,
"Adaptive Filtering",
Signal Processing for Computer Vision,
309-342, 1995.
AbstractKeywordsBiBTeX
Carl-Fredrik Westin, Hans Knutsson,
"Representation and Averaging",
Signal Processing for Computer Vision,
297-308, 1995.
AbstractKeywordsBiBTeX
Hans Knutsson, Carl-Fredrik Westin,
"Local Frequency",
Signal Processing for Computer Vision,
279-295, 1995.
AbstractKeywordsBiBTeX
Carl-Johan Westelius,
"Local Phase Estimation",
Signal Processing for Computer Vision,
259-278, 1995.
AbstractKeywordsBiBTeX
Hans Knutsson, Mats Andersson, Leif Haglund, Johan Wiklund,
"Orientation and Velocity",
Signal Processing for Computer Vision,
219-258, 1995.
AbstractKeywordsBiBTeX
AbstractKeywordsBiBTeX
AbstractKeywordsBiBTeX
Gösta H. Granlund, Johan Wiklund,
"Low Level Operations",
Signal Processing for Computer Vision,
97-116, 1995.
AbstractKeywordsBiBTeX
Gösta H. Granlund, Jörgen Karlholm, Carl-Johan Westelius, Carl-Fredrik Westin,
"Biological Vision",
Signal Processing for Computer Vision,
41-95, 1995.
AbstractKeywordsBiBTeX
AbstractKeywordsBiBTeX
Carl-Johan Westelius, Hans Knutsson, Gösta Granlund,
"Low Level Focus of Attention Mechanisms",
Vision as Process,
1995.
KeywordsBiBTeX
KeywordsBiBTeX
Jörgen Karlholm, Carl-Johan Westelius, Carl-Fredrik Westin, Hans Knutsson,
"Object Tracking Based on the Orientation Tensor Concept",
Theory and Applications of Image Analysis II,
267-278, 1995.
AbstractKeywordsBiBTeX
Carl-Fredrik Westin, Gösta Granlund, Hans Knutsson,
"Advanced Image Processing: Introduction and Background",
Vision as Process,
1995.
KeywordsBiBTeX
Carl-Johan Westelius, Hans Knutsson, Johan Wiklund, Carl-Fredrik Westin,
"Phase-based Disparity Estimation",
Vision as Process,
157-178, 1995.
AbstractKeywordsBiBTeX
1994
Håkan Bårman, Gösta H. Granlund, Leif Haglund,
"Feature Extraction for Computer-Aided Analysis of Mammograms",
State of the Art in Digital Mammographic Image Analysis,
1994.
AbstractKeywordsBiBTeX
Carl-Johan Westelius, Johan Wiklund, Carl-Fredrik Westin,
"Prototyping, Visualization and Simulation Using the Application Visualization System",
Experimental Environments for Computer Vision and Image Processing, Machine Perception and Artificial Intelligence,
No. 11,
33-62, 1994.
AbstractKeywordsBiBTeX
1992
Leif Haglund, Håkan Bårman, Hans Knutsson,
"Estimation of Velocity and Acceleration in Time Sequences",
Theory & Applications of Image Analysis,
223-236, 1992.
KeywordsBiBTeX
Mats Andersson, Hans Knutsson,
"Orientation Estimation in Ambiguous Neighbourhoods",
Theory & Applications of Image Analysis,
189-210, 1992.
KeywordsBiBTeX
1983
KeywordsBiBTeX
Gösta H. Granlund, Hans Knutsson,
"Contrast of Structured and Homogenous Representations",
Physical and Biological Processing of Images,
282-303, 1983.
KeywordsBiBTeX
Gösta H. Granlund, Hans Knutsson, Roland Wilson,
"Image Enhancement",
Fundamentals in Computer Vision,
57-68, 1983.
KeywordsBiBTeX
1980
Hans Knutsson, Paul Edholm, Gösta H. Granlund,
"Aspects of 3-D Reconstruction by Fourier Techniques",
Digital Signal Processing,
1980.
KeywordsBiBTeX
1973
Gösta H. Granlund,
"The Use of Distribution Functions to Describe Interated Profiles of Human Chromosomes",
Chromosome Identification, Proceedings of the 23rd Nobel Symposium,
1973.
KeywordsBiBTeX
Conference papers
2024
Arvi Jonnarth, Yushan Zhang, Michael Felsberg,
"High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation",
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
999-1008, 2024.
Martin Larsen, Sigmund Rolfsfjord, Daniel Gusland, Jörgen Ahlberg, Kim Mathiassen,
"BASE: Probably a Better Approach to Visual Multi-Object Tracking",
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Rome, Italy, 2024, VISIGRAPP,
110-121, 2024.
Krešimir Bešenić, Jörgen Ahlberg, Igor Pandžić,
"Let Me Take a Better Look: Towards Video-Based Age Estimation",
<em>Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM, Rome , Italy</em>, ICPRAM,
57-59, 2024.
Wafa Alghallabi, Akshay Dudhane, Waqas Zamir, Salman Khan, Fahad Khan,
"Accelerated MRI Reconstruction via Dynamic Deformable Alignment Based Transformer",
MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I, Lecture Notes in Computer Science,
104-114, 2024.
2023
Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang, Fahad Khan,
"Generative Multiplane Neural Radiance for 3D-Aware Image Generation",
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, IEEE International Conference on Computer Vision,
7354-7364, 2023.
Salwa Al Khatib, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Khan,
"3D Instance Segmentation via Enhanced Spatial and Semantic Supervision",
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, IEEE International Conference on Computer Vision,
541-550, 2023.
Syed Talal Wasim, Muhammad Uzair Khattak, Muzammal Naseer, Salman Khan, Mubarak Shah, Fahad Khan,
"Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition",
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), IEEE International Conference on Computer Vision,
13732-13743, 2023.
Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Khan,
"Self-regulating Prompts: Foundational Model Adaptation without Forgetting",
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), IEEE International Conference on Computer Vision,
15144-15154, 2023.
Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander Faxén, Christoffer Petersson, Lennart Svensson,
"You can have your ensemble and run it too - Deep Ensembles Spread Over Time",
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, IEEE International Conference on Computer Vision Workshops,
4022-4031, 2023.
Matej Kristan, Jiri Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjorklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernandez, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, HouWen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stephane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, YongSheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo,
"The First Visual Object Tracking Segmentation VOTS2023 Challenge Results",
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, IEEE International Conference on Computer Vision Workshops,
1788-1810, 2023.
Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Khan,
"Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification",
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT III, Lecture Notes in Computer Science,
128-137, 2023.
Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Khan,
"3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers",
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT VIII, Lecture Notes in Computer Science,
613-623, 2023.
Chao Qin, Jiale Cao, Huazhu Fu, Rao Muhammad Anwer, Fahad Khan,
"A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos",
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT II, Lecture Notes in Computer Science,
479-488, 2023.
Asif Hanif, Muzammal Naseer, Salman Khan, Mubarak Shah, Fahad Khan,
"Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation",
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT II, Lecture Notes in Computer Science,
457-467, 2023.
Syed Talal Wasim, Muzammal Naseer, Salman Khan, Fahad Khan, Mubarak Shah,
"Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
23034-23044, 2023.
Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, Fahad Khan,
"Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
22201-22210, 2023.
Muhammad Uzair Khattak, Hanoona Rasheed, Muhammad Maaz, Salman Khan, Fahad Khan,
"MaPLe: Multi-modal Prompt Learning",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
19113-19122, 2023.
Emanuel Sanchez Aimar, Arvi Jonnarth, Michael Felsberg, Marco Kuhlmann,
"Balanced Product of Calibrated Experts for Long-Tailed Recognition",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
19967-19977, 2023.
Muhammad Akhtar Munir, Muhammad Haris Khan, Salman Khan, Fahad Khan,
"Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
11474-11483, 2023.
Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Khan, Meiqin Liu, Jian Yang,
"3D-Aware Multi-Class Image-to-Image Translation with NeRFs",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
12652-12662, 2023.
Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Khan,
"PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, IEEE Conference on Computer Vision and Pattern Recognition,
3479-3488, 2023.
Hanoona Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman Khan, Fahad Khan,
"Fine-tuned CLIP Models are Efficient Video Learners",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, IEEE Conference on Computer Vision and Pattern Recognition,
6545-6554, 2023.
Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Khan,
"Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, IEEE Conference on Computer Vision and Pattern Recognition,
7247-7256, 2023.
Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Khan, Ming-Hsuan Yang,
"Burstormer: Burst Image Restoration and Enhancement Transformer",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, IEEE Conference on Computer Vision and Pattern Recognition,
5703-5712, 2023.
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Khan,
"Person Image Synthesis via Denoising Diffusion Model",
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, IEEE Conference on Computer Vision and Pattern Recognition,
5968-5976, 2023.
Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson,
"You can have your ensemble and run it too -- Deep Ensembles Spread Over Time",
Proceedings of the IEEE/CVF International Conference on Computer Vision,
4020-4029, 2023.
AbstractKeywordsBiBTeX
Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg,
"Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation",
2023 IEEEInternational Conferenceon Image Processing,
326-330, 2023.
William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg,
"Raw or Cooked? Object Detection on RAW Images",
Image Analysis, Lecture Notes in Computer Science,
Vol. 13885,
374-385, 2023.
Karl Holmquist, Bastian Wandt,
"Diffpose: Multi-hypothesis human pose estimation using diffusion models",
ICCV 2023, Paris, France, October 4-6, 2023.,
2023.
AbstractKeywordsBiBTeX
Emmanuele Barberi, Filippo Cucinotta, Per-Erik Forssén, Marcello Raffaele, Fabio Salmeri,
"A differential entropy-based method for reverse engineering quality assessment",
ADM 2023 International Conference, Florence, Italy 6-8 September 2023,
2023.
AbstractKeywordsBiBTeX
Emil Brissman, Per-Erik Forssén, Johan Edstedt,
"Camera Calibration Without Camera Access - A Robust Validation Technique for Extended PnP Methods",
22nd Scandinavian Conference, SCIA 2023 Sirkka, Finland, April 18–21, 2023, Lecture Notes in Computer Science,
Vol. 13885,
34-49, 2023.
Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg,
"DKM: Dense Kernelized Feature Matching for Geometry Estimation",
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings:IEEE Conference on Computer Vision and Pattern Recognition,
17765-17775, 2023.
Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt,
"Asymmetric Student-Teacher Networks for Industrial Anomaly Detection",
2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), IEEE Winter Conference on Applications of Computer Vision,
2591-2601, 2023.
Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Khan,
"Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution",
2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), IEEE Winter Conference on Applications of Computer Vision,
2194-2204, 2023.
Karl Holmquist, Lena Klasén, Michael Felsberg,
"Evidential Deep Learning for Class-Incremental Semantic Segmentation",
Image Analysis. SCIA 2023., Lecture Notes in Computer Science,
Vol. 13886,
32-48, 2023.
2022
Nicolaea Catalin Ristea, Radu Tudor Ionescu, Fahad Khan,
"SepTr: Separable Transformer for Audio Spectrogram Processing",
INTERSPEECH 2022, Interspeech,
4103-4107, 2022.
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Khan, Jorma Laaksonen, Michael Felsberg,
"DoodleFormer: Creative Sketch Drawing with Transformers",
COMPUTER VISION - ECCV 2022, PT XVII, Lecture Notes in Computer Science,
338-355, 2022.
Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak, Gustav Grund Pihlgren,
"VidHarm: A Clip Based Dataset for Harmful Content Detection",
2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), International Conference on Pattern Recognition,
1543-1549, 2022.
Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Khan,
"Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer",
COMPUTER VISION, ECCV 2022, PT XXIX, Lecture Notes in Computer Science,
666-681, 2022.
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Khan, Martin Danelljan,
"Dense Gaussian Processes for Few-Shot Segmentation",
COMPUTER VISION, ECCV 2022, PT XXIX, Lecture Notes in Computer Science,
217-234, 2022.
Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Khan, Rao Muhammad Anwer, Ming-Hsuan Yang,
"Class-Agnostic Object Detection with Multi-modal Transformer",
COMPUTER VISION, ECCV 2022, PT X, Lecture Notes in Computer Science,
512-531, 2022.
Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Khan, Bernard Ghanem,
"Spatio-temporal Relation Modeling for Few-shot Action Recognition",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), IEEE Conference on Computer Vision and Pattern Recognition,
19926-19935, 2022.
Oliver Stromann, Alireza Razavi, Michael Felsberg,
"LEARNING TO INTEGRATE VISION DATA INTO ROAD NETWORK DATA",
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), International Conference on Acoustics Speech and Signal Processing ICASSP,
4548-4552, 2022.
Arvi Jonnarth, Michael Felsberg,
"IMPORTANCE SAMPLING CAMS FOR WEAKLY-SUPERVISED SEGMENTATION",
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), International Conference on Acoustics Speech and Signal Processing ICASSP,
2639-2643, 2022.
Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Khan, Mubarak Shah,
"UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), IEEE Conference on Computer Vision and Pattern Recognition,
20111-20121, 2022.
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Khan, Ming-Hsuan Yang,
"Restormer: Efficient Transformer for High-Resolution Image Restoration",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), IEEE Conference on Computer Vision and Pattern Recognition,
5718-5729, 2022.
Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Khan, Thomas B. Moeslund, Mubarak Shah,
"Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
13566-13576, 2022.
Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Khan, Michael S. Ryoo,
"Self-supervised Video Transformer",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), IEEE Conference on Computer Vision and Pattern Recognition,
2864-2874, 2022.
K. J. Joseph, Salman Khan, Fahad Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian,
"Energy-based Latent Aligner for Incremental Learning",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
7442-7451, 2022.
Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Khan, Mubarak Shah,
"OW-DETR: Open-world Detection Transformer",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
9225-9234, 2022.
Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Khan, Ming-Hsuan Yang,
"Burst Image Restoration and Enhancement",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), IEEE Conference on Computer Vision and Pattern Recognition,
5749-5758, 2022.
Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, Fahad Khan,
"PSTR: End-to-End One-Step Person Search With Transformers",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
9448-9457, 2022.
Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, Fahad Khan,
"Adaptive Feature Consolidation Network for Burst Super-Resolution",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2022),
1278-1285, 2022.
Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo,
"NTIRE 2022 Burst Super-Resolution Challenge",
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2022),
1040-1060, 2022.
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden,
"Trust Your IMU: Consequences of Ignoring the IMU Drift",
Proceedings 2022 IEEE/CVF Conference on Computer Visionand Pattern Recognition Workshops, IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops,
4467-4476, 2022.
Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Khan,
"COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains",
2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022), IEEE Winter Conference on Applications of Computer Vision,
1618-1627, 2022.
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck,
"Steerable 3D Spherical Neurons",
Proceedings of the 39th International Conference on Machine Learning, Proceedings of Machine Learning Research,
15330-15339, 2022.
AbstractKeywordsBiBTeX
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli,
"ON IMPROVING ADVERSARIAL TRANSFERABILITY OF VISION TRANSFORMERS",
The Tenth International Conference on Learning Representations (Virtual)Mon Apr 25th through Fri the 29th,
2022.
KeywordsBiBTeX
Zahra Gharaee,
"Predicting the intended action using internal simulation of perception",
ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2,
626-635, 2022.
2021
Karl Holmquist, Lena Klasén, Michael Felsberg,
"Class-Incremental Learning for Semantic Segmentation - A study",
2021 Swedish Artificial Intelligence Society Workshop (SAIS),
25-28, 2021.
Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Khan, Fatih Porikli,
"On Generating Transferable Targeted Perturbations",
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021),
7688-7697, 2021.
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Khan, Mubarak Shah,
"Handwriting Transformers",
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021),
1066-1074, 2021.
Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman Khan, Fahad Khan,
"Orthogonal Projection Loss",
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021),
12313-12323, 2021.
Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Khan, Ming-Hsuan Yang, Ling Shao,
"D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations",
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021),
13588-13597, 2021.
Sanath Narayan, Akshita Gupta, Salman Khan, Fahad Khan, Ling Shao, Mubarak Shah,
"Discriminative Region-based Multi-Label Zero-Shot Learning",
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021),
8711-8720, 2021.
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg,
"Video Instance Segmentation with Recurrent Graph Neural Networks",
Pattern Recognition, Lecture Notes in Computer Science,
Vol. 13024,
206-221, 2021.
Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Kapyla, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernandez, Mohamed Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Gunsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo-Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, Yin Jun, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiao-Jun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shaochuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xue-Feng Zhu,
"The Ninth Visual Object Tracking VOT2021 Challenge Results",
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021), IEEE International Conference on Computer Vision Workshops,
2711-2738, 2021.
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck,
"Embed Me If You Can: A Geometric Perceptron",
Proceedings 2021 IEEE/CVF International Conference on Computer Vision ICCV 2021, IEEE International Conference on Computer Vision. Proceedings,
1256-1264, 2021.
K. J. Joseph, Salman Khan, Fahad Khan, Vineeth N. Balasubramanian,
"Towards Open World Object Detection",
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, IEEE Conference on Computer Vision and Pattern Recognition,
5826-5836, 2021.
Mikael Persson, Gustav Häger, Hannes Ovrén, Per-Erik Forssén,
"Practical Pose Trajectory Splines With Explicit Regularization",
2021 INTERNATIONAL CONFERENCE ON 3D VISION (3DV 2021), International Conference on 3D Vision,
156-165, 2021.
Mikael Persson, Per-Erik Forssén,
"Independently Moving Object Trajectories from Sequential Hierarchical Ransac",
VISAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 5: VISAPP,
722-731, 2021.
KJ Joseph, Salman Khan, Fahad Shahbaz Khan, Vineeth N Balasubramanian,
"Towards Open World Object Detection",
CVPR 2021, June 19-25 2021,
2021.
AbstractBiBTeX
Gustav Häger, Mikael Persson, Michael Felsberg,
"Predicting Disparity Distributions",
2021 IEEE International Conference on Robotics and Automation (ICRA), IEEE International Conference on Robotics and Automation (ICRA),
2021.
Emil Brissman, Joakim Johnander, Michael Felsberg,
"Predicting Signed Distance Functions for Visual Instance Segmentation",
33rd Annual Workshop of the Swedish-Artificial-Intelligence-Society (SAIS), Annual Workshop of the Swedish-Artificial-Intelligence-Society (SAIS),
5-10, 2021.
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden,
"Efficient Real-Time Radial Distortion Correction for UAVs",
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE Winter Conference on Applications of Computer Vision (WACV),
1750-1759, 2021.
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden,
"Minimal Solvers for Indoor UAV Positioning",
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), International Conference on Pattern Recognition,
1136-1143, 2021.
Zahra Gharaee, Karl Holmquist, Linbo He, Michael Felsberg,
"A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control",
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), International Conference on Pattern Recognition,
3947-3954, 2021.
Abdelrahman Eldesokey, Michael Felsberg,
"Normalized Convolution Upsampling for Refined Optical Flow Estimation",
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP,
742-752, 2021.
Andreas Robinson, Abdelrahman Eldesokey, Michael Felsberg,
"Distractor-aware video object segmentation",
Pattern Recognition. DAGM GCPR 2021, Lecture Notes in Computer Science,
Vol. 13024,
222-234, 2021.
2020
M. Kristan, A. Leonardis, J. Matas, Michael Felsberg, R. Pflugfelder, J.-K. Kämäräinen, M. Danelljan, L.C. Zajc, A. Lukežic, O. Drbohlav, Linbo He, Yushan Zhang, S. Yan, J. Yang, G. Fernández, A. Hauptmann, A. Memarmoghadam, Á. García-Martín, Andreas Robinson, A. Varfolomieiev, A.H. Gebrehiwot, B. Uzun, B. Yan, B. Li, C. Qian, C.-Y. Tsai, C. Micheloni, D. Wang, F. Wang, F. Xie, Felix Järemo-Lawin, F. Gustafsson, G.L. Foresti, G. Bhat, G. Chen, H. Ling, H. Zhang, H. Cevikalp, H. Zhao, H. Bai, H.C. Kuchibhotla, H. Saribas, H. Fan, H. Ghanei-Yakhdan, H. Li, H. Peng, H. Lu, H. Li, J. Khaghani, J. Bescos, J. Li, J. Fu, J. Yu, J. Xu, J. Kittler, J. Yin, J. Lee, K. Yu, K. Liu, K. Yang, K. Dai, L. Cheng, L. Zhang, L. Wang, L. Wang, Gool L. Van, L. Bertinetto, M. Dunnhofer, M. Cheng, M.M. Dasari, N. Wang, N. Wang, P. Zhang, P.H.S. Torr, Q. Wang, R. Timofte, R.K.S. Gorthi, S. Choi, S.M. Marvasti-Zadeh, S. Zhao, S. Kasaei, S. Qiu, S. Chen, T.B. Schön, T. Xu, W. Lu, W. Hu, W. Zhou, X. Qiu, X. Ke, X.-J. Wu, X. Zhang, X. Yang, X. Zhu, Y. Jiang, Y. Wang, Y. Chen, Y. Ye, Y. Li, Y. Yao, Y. Lee, Y. Gu, Z. Wang, Z. Tang, Z.-H. Feng, Z. Mai, Z. Zhang, Z. Wu, Z. Ma,
"The Eighth Visual Object Tracking VOT2020 Challenge Results",
Computer Vision, Lecture Notes in Computer Science,
Vol. 12539,
547-601, 2020.
Amanda Berg, Jörgen Ahlberg, Michael Felsberg,
"Unsupervised Adversarial Learning of Anomaly Detection in the Wild",
Proceedings of the 24th European Conference on Artificial Intelligence (ECAI), Frontiers in Artificial Intelligence and Applications,
Vol. 325,
1002-1008, 2020.
Felix Järemo-Lawin, Per-Erik Forssén,
"Registration Loss Learning for Deep Probabilistic Point Set Registration",
2020 International Conference on 3D Vision (3DV), International Conference on 3D Vision,
563-572, 2020.
Santiago A. Rodriguez Gonzalez, Michal Shimoni, Javier Plaza, Antonio Plaza, Ingmar Renhorn, Jörgen Ahlberg,
"The Detection of Concealed Targets in Woodland Areas using Hyperspectral Imagery",
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS),
451-455, 2020.
Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Mikael Persson,
"Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End",
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Conference on Computer Vision and Pattern Recognition (CVPR),
12011-12020, 2020.
Bhat Goutam, Felix Järemo-Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte,
"Learning What to Learn for Video Object Segmentation",
Computer Vision, Lecture Notes in Computer Science,
Vol. 12347,
777-794, 2020.
Andreas Robinson, Felix Järemo-Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg,
"Learning Fast and Robust Target Models for Video Object Segmentation",
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Computer Society Conference on Computer Vision and Pattern Recognition,
7404-7413, 2020.
M. Naseer, S. Khan, M. Hayat, Fahad Shahbaz Khan, F. Porikli,
"A Self-supervised Approach for Adversarial Robustness",
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Computer Society Conference on Computer Vision and Pattern Recognition,
259-268, 2020.
T. Wang, T. Yang, M. Danelljan, Fahad Shahbaz Khan, X. Zhang, J. Sun,
"Learning Human-Object Interaction Detection Using Interaction Points",
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Computer Society Conference on Computer Vision and Pattern Recognition,
4115-4124, 2020.
Y. Wang, A. Gonzalez-Garcia, D. Berga, L. Herranz, Fahad Shahbaz Khan, J. van de Weijer,
"MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images",
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Computer Society Conference on Computer Vision and Pattern Recognition,
9329-9338, 2020.
Y. Wang, S. Khan, A. Gonzalez-Garcia, J. van de Weijer, Fahad Shahbaz Khan,
"Semi-Supervised Learning for Few-Shot Image-to-Image Translation",
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Computer Society Conference on Computer Vision and Pattern Recognition,
4452-4461, 2020.
J. Rajasegaran, S. Khan, M. Hayat, Fahad Shahbaz Khan, M. Shah,
"iTAML: An Incremental Task-Agnostic Meta-learning Approach",
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society Conference on Computer Vision and Pattern Recognition,
13585-13594, 2020.
2019
Nolang Fanani, Matthias Ochs, Rudolf Mester,
"Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps",
COMPUTER VISION - ECCV 2018 WORKSHOPS, PT III, Lecture Notes in Computer Science,
281-297, 2019.
Matej Kristanl, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka Cehovin Zajc, Ondrej Drbohlav, Alan Lukezic, Amanda Berg, Abdelrahman Eldesokey, Jani Kapyla, Gustavo Fernandez, Abel Gonzalez-Garcia, Alireza Memarrnoghadam, Andong Lu, Anfeng He, Anton Varfolomieiev, Antoni Chan, Ardhendu Shekhar Tripathi, Arnold Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Bing Li, Bo Li, Bycong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guanqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Jianhu Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Jingqing Qi, Jingyue Zhang, John K. Tsotsos, John Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang wang, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Naveen Paluru, Niki Martine, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang Qiang Wang, Qing Gua, Radu Timofte, Rama Krishna Gorthi, Richard Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomas Vojir, Wei Feng, Weiming Hu, Weizhao Wang, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xue-Feng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Zeyu Wang Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Zhu Teng, Zihan Ni,
"The Seventh Visual Object Tracking VOT2019 Challenge Results",
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), IEEE International Conference on Computer Vision Workshops,
2206-2241, 2019.
Rao Muhammad Anwer, Fahad Khan, Jorma Laaksonen, Nazar Zaki,
"Multi-stream Convolutional Networks for Indoor Scene Recognition",
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT I, Lecture Notes in Computer Science,
196-208, 2019.
Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao,
"Object Counting and Instance Segmentation with Image-level Supervision",
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), Long Beach, CA, JUN 16-20, 2019, IEEE Conference on Computer Vision and Pattern Recognition,
12389-12397, 2019.
Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao,
"Efficient Featurized Image Pyramid Network for Single Shot Detector",
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), Long Beach, CA, JUN 16-20, 2019, IEEE Conference on Computer Vision and Pattern Recognition,
7328-7336, 2019.
Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao,
"Mask-Guided Attention Network for Occluded Pedestrian Detection",
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), IEEE International Conference on Computer Vision,
4966-4974, 2019.
Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan,
"Learning the Model Update for Siamese Trackers",
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), Seoul, SOUTH KOREA, OCT 27-NOV 02, 2019, IEEE International Conference on Computer Vision,
4009-4018, 2019.
Muzammal Naseer, Salman Khan, Muhammad Haris Khan, Fahad Khan, Fatih Porikli,
"Cross-Domain Transferability of Adversarial Perturbations",
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), Advances in Neural Information Processing Systems,
2019.
AbstractKeywordsBiBTeX
Andreas Robinson, Felix Järemo-Lawin, Martin Danelljan, Michael Felsberg,
"Discriminative Learning and Target Attention for the 2019 DAVIS Challenge onVideo Object Segmentation",
CVPR 2019 workshops,
2019.
AbstractKeywordsBiBTeX
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg,
"ATOM: Accurate tracking by overlap maximization",
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online),
4655-4664, 2019.
Matej Kristan, Aleš Leonardis, Jirí Matas, Michael Felsberg, Roman Pflugfelder, Luka Cehovin Zajc, Tomáš Vojírì, Goutam Bhat, Alan Lukezič, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhič, Anfeng He, Arnold Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. S. Subrahmanyam, Guilherme Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, Joao Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, P. Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip Torr, Priya Mariam Raju, Qian Ruihe, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martín-Nieto, Rama Krishna Gorthi, Ran Tao, Richard Bowden, Richard Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Tang Ming, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Štruc, Wang Wei, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He,
"The Sixth Visual Object Tracking VOT2018 Challenge Results",
Computer Vision – ECCV 2018 Workshops, Lecture Notes in Computer Science,
Vol. 11129,
3-53, 2019.
Adam Nyberg, Abdelrahman Eldesokey, David Bergström, David Gustafsson,
"Unpaired Thermal to Visible Spectrum Transfer using Adversarial Training",
Computer Vision - Eccv 2018 Workshops, Pt VI, Lecture Notes in Computer Science,
Vol. 11134,
657-669, 2019.
Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg,
"Semi-automatic Annotation of Objects in Visual-Thermal Video",
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
2019.
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg,
"A generative appearance model for end-to-end video object segmentation",
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, IEEE Conference on Computer Vision and Pattern Recognition,
8945-8954, 2019.
Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg,
"On the Optimization of Advanced DCF-Trackers",
Computer Vision – ECCV 2018 Workshops, Lecture Notes in Computer Science,
Vol. 11129,
54-69, 2019.
Amanda Berg, Jörgen Ahlberg, Michael Felsberg,
"Visual Spectrum Image Generation fromThermal Infrared",
Swedish Symposium on Image Analysis,
2019.
AbstractKeywordsBiBTeX
Krešimir Bešenić, Jörgen Ahlberg, Igor Pandžić,
"Unsupervised Facial Biometric Data Filtering for Age and Gender Estimation",
Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2019),
209-217, 2019.
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan,
"Propagating Confidences through CNNs for Sparse Data Regression",
British Machine Vision Conference 2018, BMVC 2018,
2019.
2018
Mikael Persson, Klas Nordberg,
"Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver",
European Conference on Computer VisionECCV 2018: Computer Vision – ECCV 2018, Lecture Notes in Computer Science,
Vol. 11208,
334-349, 2018.
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg,
"Unveiling the power of deep tracking",
Computer Vision – ECCV 2018, Lecture Notes in Computer Science,
Vol. 11206,
493-509, 2018.
Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Shahbaz Khan,
"HorizonNet for visual terrain navigation",
Proceedings of 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS),
149-155, 2018.
Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg,
"Combining Local and Global Models for Robust Re-detection",
Proceedings of AVSS 2018. 2018 IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, New Zealand, 27-30 November 2018,
25-30, 2018.
Rao Muhammad Anwer, Fahad Khan, Jorma Laaksonen,
"Two-Stream Part-based Deep Representation for Human Attribute Recognition",
2018 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB), International Conference on Biometrics,
90-97, 2018.
Karl Holmquist, Deniz Senel, Michael Felsberg,
"Computing a Collision-Free Path using the monogenic scale space",
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), International Conference on Intelligent Robots and Systems (IROS),
8097-8102, 2018.
Sepehr Hatami, Anton Dahl-Jendelin, Jörgen Ahlberg, Claes Nelsson,
"Selective Laser Melting Process Monitoring by Means of Thermography",
Proceedings of Euro Powder Metallurgy Congress (Euro PM),
2018.
AbstractKeywordsBiBTeX
Nenad Markus, Ivan Gogic, Igor Pandžic, Jörgen Ahlberg,
"Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment",
Proceedings of BMVC 2018 and Workshops,
1-11, 2018.
Nolang Fanani, Rudolf Mester,
"The precision of triangulation in monocular visual odometry",
2018 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI), IEEE Southwest Symposium on Image Analysis and Interpretation,
73-76, 2018.
Bertil Grelsson, Michael Felsberg,
"Improved Learning in Convolutional Neural Networks with Shifted Exponential Linear Units (ShELUs)",
2018 24th International Conference on Pattern Recognition (ICPR), International Conference on Pattern Recognition,
517-522, 2018.
Gustav Häger, Michael Felsberg, Fahad Shahbaz Khan,
"Countering bias in tracking evaluations",
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications,
581-587, 2018.
Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg,
"Density Adaptive Point Set Registration",
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition,
3829-3837, 2018.
Hannes Ovrén, Per-Erik Forssén,
"Spline Error Weighting for Robust Visual-Inertial Fusion",
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Computer Vision and Pattern Recognition,
321-329, 2018.
Amanda Berg, Jörgen Ahlberg, Michael Felsberg,
"Generating Visible Spectrum Images from Thermal Infrared",
Proceedings 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2018, IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops,
1224-1233, 2018.
2017
Jens Ogniewski, Per-Erik Forssén,
"Pushing the Limits for View Prediction in Video Coding",
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 4,
68-76, 2017.
Gabriel Eilertsen, Per-Erik Forssén, Jonas Unger,
"BriefMatch: Dense binary feature matching for real-time optical flow estimation",
Proceedings of the Scandinavian Conference on Image Analysis (SCIA17), Lecture Notes in Computer Science,
221-233, 2017.
Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernandez, Alvaro Garcia-Martin, A. Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-Chan Jeong, Jae-Il Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, Joao F. Henriques, Jose M. Martinez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, P. Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin-Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He,
"The Visual Object Tracking VOT2017 challenge results",
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), IEEE International Conference on Computer Vision Workshops,
1949-1972, 2017.
Jan van den Brand, Matthias Ochs, Rudolf Mester,
"Instance-Level Segmentation of Vehicles by Deep Contours",
COMPUTER VISION - ACCV 2016 WORKSHOPS, PT I, Lecture Notes in Computer Science,
477-492, 2017.
Nolang Fanani, Alina Stuerck, Marc Barnada, Rudolf Mester,
"Multimodal Scale Estimation for Monocular Visual Odometry",
2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), IEEE Intelligent Vehicles Symposium,
1714-1721, 2017.
Matthias Ochs, Henry Bradler, Rudolf Mester,
"Learning Rank Reduced Interpolation with Principal Component Analysis",
2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), IEEE Intelligent Vehicles Symposium,
1126-1133, 2017.
Felix Järemo-Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg,
"Deep Projective 3D Semantic Segmentation",
Computer Analysis of Images and Patterns, Lecture Notes in Computer Science,
Vol. 10424,
95-107, 2017.
Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg,
"DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking",
Computer Analysis of Images and Patterns, Lecture Notes in Computer Science,
Vol. 10424,
55-67, 2017.
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan,
"Ellipse Detection for Visual Cyclists Analysis “In the Wild”",
Computer Analysis of Images and Patterns, Lecture Notes in Computer Science,
Vol. 10424,
319-331, 2017.
Andreas Robinson, Mikael Persson, Michael Felsberg,
"Robust Accurate Extrinsic Calibration of Static Non-overlapping Cameras",
Computer Analysis of Images and Patterns, Lecture Notes in Computer Science,
Vol. 10425,
342-353, 2017.
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg,
"ECO: Efficient Convolution Operators for Tracking",
Proceedings 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
Vol. 2017,
6931-6939, 2017.
Jens Ogniewski, Per-Erik Forssén,
"What is the best depth-map compression for Depth Image Based Rendering?",
Computer Analysis of Images and Patterns, Lecture Notes in Computer Science,
Vol. 10425,
403-415, 2017.
Marcus Wallenberg, Per-Erik Forssen,
"Attentional Masking for Pre-trained Deep Networks",
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS17),
6149-6154, 2017.
Henry Bradler, Matthias Ochs, Nolang Fanani, Rudolf Mester,
"Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences",
2017 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2017), IEEE Winter Conference on Applications of Computer Vision,
445-453, 2017.
Jörgen Ahlberg, Ingmar Renhorn, Tomas Chevalier, Joakim Rydell, David Bergström,
"Three-dimensional hyperspectral imaging technique",
ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXIII, Proceedings of SPIE,
Vol. 10198,
2017.
Amanda Berg, Jörgen Ahlberg, Michael Felsberg,
"Object Tracking in Thermal Infrared Imagery based on Channel Coded Distribution Fields",
Swedish Symposium on Image Analysis,
2017.
2016
Tomas Brandtberg,
"Virtual hexagonal and multi-scale operator for fuzzy rank order texture classification using one-dimensional generalised Fourier analysis",
2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), International Conference on Pattern Recognition,
2018-2024, 2016.
Nenad Markus, Igor S. Pandzic, Jörgen Ahlberg,
"Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion",
2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), International Conference on Pattern Recognition,
2380-2385, 2016.
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg,
"Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking",
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
Vol. 2016,
1430-1438, 2016.
Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg,
"A Probabilistic Framework for Color-Based Point Set Registration",
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition,
Vol. 2016,
1818-1826, 2016.
Gustav Häger, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Piotr Rudol, Patrick Doherty,
"Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV",
Proceedings of the 12th International Symposium on Advances in Visual Computing, Lecture Notes in Computer Science,
2016.
Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg,
"Deep motion features for visual tracking",
Proceedings of the 23rd International Conference on, Pattern Recognition (ICPR), 2016,
1243-1248, 2016.
Martin Danelljan, G