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3D CNNs with Adaptive Temporal Feature Resolutions

Nov 17, 2020
Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Juergen Gall


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Zero-Pair Image to Image Translation using Domain Conditional Normalization

Nov 11, 2020
Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte

* Paper accepted for publication at WACV 2021 

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Neural Architecture Search of SPD Manifold Networks

Oct 27, 2020
Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool

* Info: 19 pages, 11 Figures, and 9 Tables 

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Self-Supervised Shadow Removal

Oct 22, 2020
Florin-Alexandru Vasluianu, Andres Romero, Luc Van Gool, Radu Timofte

* 10 pages, 4 figures, 6 tables 

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Facial Emotion Recognition with Noisy Multi-task Annotations

Oct 19, 2020
Siwei Zhang, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool


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LID 2020: The Learning from Imperfect Data Challenge Results

Oct 17, 2020
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 

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Self-Supervised Ranking for Representation Learning

Oct 14, 2020
Ali Varamesh, Ali Diba, Tinne Tuytelaars, Luc Van Gool


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SMILE: Semantically-guided Multi-attribute Image and Layout Editing

Oct 05, 2020
Andrés Romero, Luc Van Gool, Radu Timofte


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Few-Shot Classification By Few-Iteration Meta-Learning

Oct 01, 2020
Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte

* 14 pages 

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Depth Estimation from Monocular Images and Sparse Radar Data

Sep 30, 2020
Juan-Ting Lin, Dengxin Dai, Luc Van Gool

* 9 pages, 6 figures, Accepted to 2020 IEEE International Conference on Intelligent Robots and Systems (IROS 2020) 

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Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation

Sep 23, 2020
Ozan Unal, Luc Van Gool, Dengxin Dai

* 8 pages, 4 figures, 5 tables 

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Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

Sep 18, 2020
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew Blaschko, Tinne Tuytelaars, Marie-Francine Moens


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GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network

Sep 16, 2020
Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte

* code: https://github.com/PruneTruong/GOCor 

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Plug-and-Play Image Restoration with Deep Denoiser Prior

Aug 31, 2020
Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte

* An extended version of IRCNN (CVPR17). Project page: https://github.com/cszn/DPIR 

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Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images

Aug 27, 2020
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool


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Automated Search for Resource-Efficient Branched Multi-Task Networks

Aug 24, 2020
David Bruggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool

* British Machine Vision Conference (BMVC) 2020 

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Neural Architecture Search as Sparse Supernet

Jul 31, 2020
Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool


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Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference

Jul 24, 2020
Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool

* European Conference on Computer Vision (ECCV), 2020 

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Weakly Supervised 3D Object Detection from Lidar Point Cloud

Jul 23, 2020
Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai

* ECCV 2020; website: https://github.com/hlesmqh/WS3D 

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Video Object Segmentation with Episodic Graph Memory Networks

Jul 19, 2020
Xinkai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool

* ECCV2020 Spotlight; website: https://github.com/carrierlxk/GraphMemVOS 

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T-Basis: a Compact Representation for Neural Networks

Jul 13, 2020
Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool

* Accepted at ICML 2020 

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Learning Accurate and Human-Like Driving using Semantic Maps and Attention

Jul 10, 2020
Simon Hecker, Dengxin Dai, Alexander Liniger, Luc Van Gool

* IROS 2020 final version. arXiv admin note: text overlap with arXiv:1903.10995 

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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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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Jul 08, 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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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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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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