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Luc Van Gool

Computer Vision Lab, ETH Züurich, PSI, KU Leuven

Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo


Oct 11, 2021
Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool

* Accepted for publication at IEEE/CVF, WACV 2022. (11 pages) 

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Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo


Oct 11, 2021
Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool

* Accepted for publication at IEEE/CVF WACV 2022. 18 pages 

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Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images


Oct 05, 2021
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool

* ICCV 2021 

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MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation


Oct 01, 2021
Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino

* Accepted to ICCV2021 Workshop on 3D Object Detection from Images 

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PDC-Net+: Enhanced Probabilistic Dense Correspondence Network


Sep 29, 2021
Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool

* Code: https://github.com/PruneTruong/DenseMatching. Paper extension of PDC-Net. arXiv admin note: substantial text overlap with arXiv:2101.01710 

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Context-aware Padding for Semantic Segmentation


Sep 16, 2021
Yu-Hui Huang, Marc Proesmans, Luc Van Gool


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Perceptual Learned Video Compression with Recurrent Conditional GAN


Sep 13, 2021
Ren Yang, Luc Van Gool, Radu Timofte


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TADA: Taxonomy Adaptive Domain Adaptation


Sep 10, 2021
Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool

* 15 pages, 5 figures, 6 tables 

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Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds


Sep 06, 2021
Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool

* Journal extension of our ECCV'20 Paper -- 15 pages. arXiv admin note: substantial text overlap with arXiv:2003.04210 

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Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation


Aug 28, 2021
Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool

* arXiv admin note: text overlap with arXiv:2012.10782 

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End-to-End Urban Driving by Imitating a Reinforcement Learning Coach


Aug 26, 2021
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool

* ICCV 2021 

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Generalized Real-World Super-Resolution through Adversarial Robustness


Aug 25, 2021
Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez

* ICCV Workshops, 2021 

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SwinIR: Image Restoration Using Swin Transformer


Aug 23, 2021
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte

* Sota results on classical/lightweight/real-world image SR, image denoising and JPEG compression artifact reduction. Code: https://github.com/JingyunLiang/SwinIR 

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Deep Reparametrization of Multi-Frame Super-Resolution and Denoising


Aug 18, 2021
Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte

* ICCV 2021 Oral 

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Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather


Aug 16, 2021
Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool

* Camera-Ready Version for ICCV 2021 

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Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction


Aug 12, 2021
Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool


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Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution


Aug 11, 2021
Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte

* Accepted by ICCV2021. Code: https://github.com/JingyunLiang/MANet 

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Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling


Aug 11, 2021
Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte

* Accepted by ICCV2021. Code: https://github.com/JingyunLiang/HCFlow 

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A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes


Aug 11, 2021
Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandstrom, Cristian Sminchisescu, Luc Van Gool

* 9 pages, 5 figures, 4 tables 

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Boosting Few-shot Semantic Segmentation with Transformers


Aug 04, 2021
Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool

* Technical report. Code and pretrained models will be available: https://github.com/GuoleiSun/TRFS 

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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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