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On the Practicality of Deterministic Epistemic Uncertainty


Jul 13, 2021
Janis Postels, Mattia Segu, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari


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A Survey on Deep Learning Technique for Video Segmentation


Jul 02, 2021
Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool


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Generative Flows with Invertible Attentions


Jun 26, 2021
Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool


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Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction


Jun 18, 2021
Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari


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Video Super-Resolution Transformer


Jun 12, 2021
Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool


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Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations


Jun 10, 2021
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool

* Paper and supplementary (20 pages). Code: https://github.com/wvangansbeke/Revisiting-Contrastive-SSL 

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Transformer in Convolutional Neural Networks


Jun 09, 2021
Yun Liu, Guolei Sun, Yu Qiu, Le Zhang, Ajad Chhatkuli, Luc Van Gool


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Fourier Space Losses for Efficient Perceptual Image Super-Resolution


Jun 01, 2021
Dario Fuoli, Luc Van Gool, Radu Timofte


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Boosting Crowd Counting with Transformers


May 23, 2021
Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool


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Unsupervised Compound Domain Adaptation for Face Anti-Spoofing


May 18, 2021
Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool

* 9 pages, 6 figures 

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Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation


May 17, 2021
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool

* Accepted at CVPR 2021 

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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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