Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network

May 13, 2020
Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte


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Know Your Surroundings: Exploiting Scene Information for Object Tracking

May 01, 2020
Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte


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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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Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context

Apr 29, 2020
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool


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Revisiting Multi-Task Learning in the Deep Learning Era

Apr 28, 2020
Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool

* A survey on recent multi-task learning techniques 

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SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects

Apr 10, 2020
Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte


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Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

Apr 08, 2020
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte

* Published in CVPR 2020; corrected a minor typo in the footnote of Table 1 

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Quantifying Data Augmentation for LiDAR based 3D Object Detection

Apr 03, 2020
Martin Hahner, Dengxin Dai, Alexander Liniger, Luc Van Gool


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DHP: Differentiable Meta Pruning via HyperNetworks

Mar 30, 2020
Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte

* Code will be available at https://github.com/ofsoundof/dhp 

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Probabilistic Regression for Visual Tracking

Mar 27, 2020
Martin Danelljan, Luc Van Gool, Radu Timofte

* CVPR 2020. Includes appendix 

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Deep Unfolding Network for Image Super-Resolution

Mar 23, 2020
Kai Zhang, Luc Van Gool, Radu Timofte

* Accepted by CVPR 2020. Project page: https://github.com/cszn/USRNet 

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Learning Better Lossless Compression Using Lossy Compression

Mar 23, 2020
Fabian Mentzer, Luc Van Gool, Michael Tschannen

* CVPR'20 camera-ready version 

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Geometrically Mappable Image Features

Mar 21, 2020
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool

* IEEE Robotics and Automation Letters 5, no. 2 (2020): 2062-2069 
* Implementation available at https://github.com/janinethoma/geometrically_mappable 

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Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression

Mar 19, 2020
Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte

* Accepted by CVPR2020. Code is available at https://github.com/ofsoundof/group_sparsity 

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Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets

Mar 17, 2020
Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Jose J. Guerrero, Cédric Demonceaux, Luc Van Gool


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Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds

Mar 09, 2020
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

* Project page: https://www.trace.ethz.ch/publications/2020/sound_perception/index.html 

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Replacing Mobile Camera ISP with a Single Deep Learning Model

Feb 13, 2020
Andrey Ignatov, Luc Van Gool, Radu Timofte


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MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning

Jan 19, 2020
Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool


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Don't Forget The Past: Recurrent Depth Estimation from Monocular Video

Jan 08, 2020
Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool


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Efficient Video Semantic Segmentation with Labels Propagation and Refinement

Dec 26, 2019
Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte

* Accepted at WACV2020 

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Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing

Dec 15, 2019
Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool


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Towards Partial Supervision for Generic Object Counting in Natural Scenes

Dec 13, 2019
Hisham Cholakkal, Guolei Sun, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool

* First two authors contributed equally. This work is a journal extension (TPAMI submission) of our CVPR 2019 paper arXiv:1903.02494 

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Self-supervised Object Motion and Depth Estimation from Video

Dec 09, 2019
Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler


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Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement

Oct 23, 2019
Zhiwu Huang, Danda Pani Paudel, Guanju Li, Jiqing Wu, Radu Timofte, Luc Van Gool


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AI Benchmark: All About Deep Learning on Smartphones in 2019

Oct 15, 2019
Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool


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