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Picture for Luc Van Gool

ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding


Apr 29, 2021
Christos Sakaridis, Dengxin Dai, Luc Van Gool


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Exploring Relational Context for Multi-Task Dense Prediction


Apr 28, 2021
David Bruggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool


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Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation


Apr 28, 2021
Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool


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Learnable Online Graph Representations for 3D Multi-Object Tracking


Apr 23, 2021
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool

* 13 pages 

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LocalViT: Bringing Locality to Vision Transformers


Apr 12, 2021
Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool


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Towards Efficient Graph Convolutional Networks for Point Cloud Handling


Apr 12, 2021
Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory Chirikjian, Luc Van Gool


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Warp Consistency for Unsupervised Learning of Dense Correspondences


Apr 08, 2021
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool

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

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Learning Target Candidate Association to Keep Track of What Not to Track


Mar 30, 2021
Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool

* 17 Pages 

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Flow-based Kernel Prior with Application to Blind Super-Resolution


Mar 29, 2021
Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte

* Accepted by CVPR2021. Code: https://github.com/JingyunLiang/FKP 

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Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation


Mar 27, 2021
M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen

* CVPR 2021 

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Unsupervised Robust Domain Adaptation without Source Data


Mar 26, 2021
Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool


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Designing a Practical Degradation Model for Deep Blind Image Super-Resolution


Mar 25, 2021
Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte

* Code: https://github.com/cszn/BSRGAN 

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Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing


Mar 08, 2021
Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool

* CVPR 2021 (Oral). Code: https://github.com/tfzhou/MG-HumanParsing 

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Spectral Tensor Train Parameterization of Deep Learning Layers


Mar 07, 2021
Anton Obukhov, Maxim Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool

* Accepted at AISTATS 2021 

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Efficient Conditional GAN Transfer with Knowledge Propagation across Classes


Feb 12, 2021
Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool

* The code will be available at: https://github.com/mshahbazi72/cGANTransfer 

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Exploring Cross-Image Pixel Contrast for Semantic Segmentation


Feb 11, 2021
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool

* Our code will be available at https://github.com/tfzhou/ContrastiveSeg 

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Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals


Feb 11, 2021
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool

* Paper and supplementary - Code: https://github.com/wvangansbeke/Unsupervised-Semantic-Segmentation 

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Deep Burst Super-Resolution


Jan 26, 2021
Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte


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Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets


Jan 19, 2021
Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool

* 16 pages, 13 tables, 5 figures 

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Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution


Jan 17, 2021
Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool


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DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows


Jan 14, 2021
Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte


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Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos


Jan 06, 2021
Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte


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Local Memory Attention for Fast Video Semantic Segmentation


Jan 05, 2021
Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte

* 14 pages, 8 figures 

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Learning Accurate Dense Correspondences and When to Trust Them


Jan 05, 2021
Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte

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

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Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes


Dec 31, 2020
Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool


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An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement


Dec 24, 2020
Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte


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Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation


Dec 19, 2020
Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool


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CompositeTasking: Understanding Images by Spatial Composition of Tasks


Dec 16, 2020
Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool


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