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Graph Representation Learning for Road Type Classification


Aug 19, 2021
Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg


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Is this Harmful? Learning to Predict Harmfulness Ratings from Video


Jun 15, 2021
Johan Edstedt, Johan Karlsson, Francisca Benavente, Anette Novak, Amanda Berg, Michael Felsberg

* 11 pages, 15 figures 

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A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control


Apr 08, 2021
Zahra Gharaee, Karl Holmquist, Linbo He, Michael Felsberg


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Deep Gaussian Processes for Few-Shot Segmentation


Mar 30, 2021
Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan

* 15 pages, 6 figures 

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Normalized Convolution Upsampling for Refined Optical Flow Estimation


Feb 13, 2021
Abdelrahman Eldesokey, Michael Felsberg

* Published at the 16th International Conference on Computer Vision Theory and Applications (VISAPP 2021) 

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Learning Video Instance Segmentation with Recurrent Graph Neural Networks


Dec 07, 2020
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg


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Embed Me If You Can: A Geometric Perceptron


Jun 11, 2020
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck


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Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End


Jun 05, 2020
Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Mikael Persson

* CVPR2020 (8 pages + supplementary) 

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Learning What to Learn for Video Object Segmentation


May 01, 2020
Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte

* First two authors contributed equally 

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Learning Fast and Robust Target Models for Video Object Segmentation


Feb 27, 2020
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg

* CVPR 2020. arXiv admin note: substantial text overlap with arXiv:1904.08630 

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Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System


Sep 19, 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, Jürgen Roßmann, Uwe Süss, Nikos G. Tsagarakis, Sven Behnke

* Accepted for IEEE Robotics and Automation Magazine (RAM), to appear December 2019 

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Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training


May 27, 2019
Amanda Berg, Jörgen Ahlberg, Michael Felsberg


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Discriminative Online Learning for Fast Video Object Segmentation


Apr 18, 2019
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg


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A Generative Appearance Model for End-to-end Video Object Segmentation


Dec 07, 2018
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg


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ATOM: Accurate Tracking by Overlap Maximization


Nov 19, 2018
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg


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Confidence Propagation through CNNs for Guided Sparse Depth Regression


Nov 05, 2018
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan

* 12 pages, 11 Figures 

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Density Adaptive Point Set Registration


Oct 23, 2018
Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg

* The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 
* CVPR 2018 (Oral) 

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Propagating Confidences through CNNs for Sparse Data Regression


Aug 03, 2018
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan

* To appear in the British Machine Vision Conference (BMVC2018) 

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Unveiling the Power of Deep Tracking


Apr 18, 2018
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg


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Scale Coding Bag of Deep Features for Human Attribute and Action Recognition


Mar 26, 2018
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen

* To appear in Machine Vision and Applications 

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DCCO: Towards Deformable Continuous Convolution Operators


Jun 09, 2017
Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg


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Deep Projective 3D Semantic Segmentation


May 09, 2017
Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg

* Submitted to CAIP 2017 

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ECO: Efficient Convolution Operators for Tracking


Apr 10, 2017
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg

* Accepted at CVPR 2017. Includes supplementary material 

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Deep Motion Features for Visual Tracking


Dec 20, 2016
Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg

* ICPR 2016. Best paper award in the "Computer Vision and Robot Vision" track 

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Discriminative Scale Space Tracking


Sep 20, 2016
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg

* To appear in TPAMI. This is the journal extension of the VOT2014-winning DSST tracking method 

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Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking


Sep 20, 2016
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg

* CVPR 2016 

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Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking


Aug 29, 2016
Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, Michael Felsberg

* ECCV 2016, Part V, LNCS 9909, pp. 472-488. Springer (2016) 
* Accepted at ECCV 2016 

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Learning Spatially Regularized Correlation Filters for Visual Tracking


Aug 19, 2016
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg

* International Conference on Computer Vision, (ICCV) 2015, pp. 4310-4318. IEEE (2015) 
* ICCV 2015 

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