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Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE

Jul 09, 2020
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu

* accepted for publication at MICCAI 2020. Code available https://github.com/voanna/slices-to-3d-brain-vae/ 

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Self-Calibration Supported Robust Projective Structure-from-Motion

Jul 04, 2020
Rui Gong, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool

* 21 pages, 5 figures, 2 tables 

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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Jul 03, 2020
Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool

* Full version of ECCV2020 Oral, CVPR2020 LID workshop Best Paper and LID challenge Track1 winner; website: https://github.com/GuoleiSun/MCIS_wsss 

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The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture

Jun 29, 2020
Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte

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

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Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model

Jun 29, 2020
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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OpenDVC: An Open Source Implementation of the DVC Video Compression Method

Jun 29, 2020
Ren Yang, Luc Van Gool, Radu Timofte

* Technical report of OpenDVC; the project page is at https://github.com/RenYang-home/OpenDVC 

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Analogical Image Translation for Fog Generation

Jun 28, 2020
Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool

* 18 pages, 9 figures, 7 tables 

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SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Jun 25, 2020
Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte


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Consistency Guided Scene Flow Estimation

Jun 19, 2020
Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu


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Dense Non-Rigid Structure from Motion: A Manifold Viewpoint

Jun 15, 2020
Suryansh Kumar, Luc Van Gool, Carlos E. P. de Oliveira, Anoop Cherian, Yuchao Dai, Hongdong Li

* A comprehensive version that combines our cvpr 2018 and cvpr 2019 work (Still under development and refinement, Initial Version). 13 Figures, 1 Table. arXiv admin note: text overlap with arXiv:1902.01077 

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Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

May 28, 2020
Christos Sakaridis, Dengxin Dai, Luc Van Gool

* 16 pages, 12 figures. arXiv admin note: text overlap with arXiv:1901.05946 

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Learning To Classify Images Without Labels

May 25, 2020
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

* Paper + supplementary. Code + pretrained models: https://github.com/wvangansbeke/Unsupervised-Classification 

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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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