| Domain Adaptive Faster R-CNN for Object Detection in the Wild Y Chen, W Li, C Sakaridis, D Dai, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2018 | 1542 | 2018 |
| The 2018 davis challenge on video object segmentation S Caelles, A Montes, KK Maninis, Y Chen, L Van Gool, F Perazzi, ... arXiv preprint arXiv:1803.00557, 2018 | 1315* | 2018 |
| DLOW: Domain Flow for Adaptation and Generalization R Gong, W Li, Y Chen, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2019 | 412 | 2019 |
| Video Object Segmentation Without Temporal Information KK Maninis, S Caelles, Y Chen, J Pont-Tuset, L Leal-Taixé, D Cremers, ... PAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 402 | 2017 |
| ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes Y Chen, W Li, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2018 | 343 | 2018 |
| Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning Y Chen, J Pont-Tuset, A Montes, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2018 | 316 | 2018 |
| Unbiased Mean Teacher for Cross Domain Object Detection J Deng, W Li, Y Chen, L Duan CVPR: Computer Vision and Pattern Recognition, 2021 | 298 | 2021 |
| Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera Y Chen, C Schmid, C Sminchisescu ICCV: International Conference on Computer Vision, 2019 | 281 | 2019 |
| Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach Y Chen, W Li, X Chen, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2019 | 279 | 2019 |
| Is Image Super-resolution Helpful for Other Vision Tasks? D Dai, Y Wang, Y Chen, L Van Gool WACV: Winter Conference on Applications of Computer Vision, 2016 | 165 | 2016 |
| Scale-Aware Domain Adaptive Faster R-CNN Y Chen, H Wang, W Li, C Sakaridis, D Dai, L Van Gool IJCV: International Journal of Computer Vision, 2021 | 98 | 2021 |
| Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation L Hoyer, D Dai, Y Chen, A Köring, S Saha, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2021 | 92 | 2021 |
| Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation S Saha, A Obukhov, DP Paudel, M Kanakis, Y Chen, S Georgoulis, ... CVPR: Computer Vision and Pattern Recognition, 2021 | 59 | 2021 |
| Towards Good Practice for CNN-Based Monocular Depth Estimation Z Fang, X Chen, Y Chen, LV Gool WACV: Winter Conference on Applications of Computer Vision, 2020 | 54 | 2020 |
| Domain agnostic feature learning for image and video based face anti-spoofing S Saha, W Xu, M Kanakis, S Georgoulis, Y Chen, DP Paudel, L Van Gool arXiv preprint arXiv:1912.07124, 2020 | 45 | 2020 |
| Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation R Gong, Y Chen, DP Paudel, Y Li, A Chhatkuli, W Li, D Dai, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2021 | 42 | 2021 |
| Scale-aware Alignment of Hierarchical Image Segmentation Y Chen, D Dai, J Pont-Tuset, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2016 | 41 | 2016 |
| Improving semi-supervised and domain-adaptive semantic segmentation with self-supervised depth estimation L Hoyer, D Dai, Q Wang, Y Chen, L Van Gool IJCV: International Journal of Computer Vision 131 (8), 2070-2096, 2023 | 40 | 2023 |
| DLOW: Domain Flow and Applications R Gong, W Li, Y Chen, D Dai, L Van Gool IJCV: International Journal of Computer Vision, 2021 | 27 | 2021 |
| mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets R Gong, D Dai, Y Chen, W Li, L Van Gool ICCV: International Conference on Computer Vision, 2021 | 22 | 2021 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
