| Covariance pooling for facial expression recognition D Acharya, Z Huang, D Pani Paudel, L Van Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 213 | 2018 |
| Learning target candidate association to keep track of what not to track C Mayer, M Danelljan, DP Paudel, L Van Gool Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 210 | 2021 |
| Transforming model prediction for tracking C Mayer, M Danelljan, G Bhat, M Paul, DP Paudel, F Yu, L Van Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 200 | 2022 |
| Sliced wasserstein generative models J Wu, Z Huang, D Acharya, W Li, J Thoma, DP Paudel, LV Gool Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 132 | 2019 |
| The ninth visual object tracking vot2021 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 99 | 2021 |
| Structured bird's-eye-view traffic scene understanding from onboard images YB Can, A Liniger, DP Paudel, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 80 | 2021 |
| Recommended keypoint-aware tracker: Adaptive real-time visual tracking using consensus feature prior ranking R Duan, C Fu, E Kayacan, DP Paudel 2016 IEEE International Conference on Image Processing (ICIP), 449-453, 2016 | 74* | 2016 |
| Unsupervised domain adaptation for nighttime aerial tracking J Ye, C Fu, G Zheng, DP Paudel, G Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 61 | 2022 |
| Boosting crowd counting with transformers G Sun, Y Liu, T Probst, DP Paudel, N Popovic, L Van Gool arXiv preprint arXiv:2105.10926 3, 3, 2021 | 61 | 2021 |
| Towards high resolution video generation with progressive growing of sliced wasserstein gans D Acharya, Z Huang, DP Paudel, L Van Gool arXiv preprint arXiv:1810.02419, 2018 | 59 | 2018 |
| Learning to relate depth and semantics for unsupervised domain adaptation S Saha, A Obukhov, DP Paudel, M Kanakis, Y Chen, S Georgoulis, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 48 | 2021 |
| Task switching network for multi-task learning G Sun, T Probst, DP Paudel, N Popović, M Kanakis, J Patel, D Dai, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 41 | 2021 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 40 | 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 Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2021 | 39 | 2021 |
| Static-map and dynamic object reconstruction in outdoor scenes using 3-D motion segmentation C Jiang, DP Paudel, Y Fougerolle, D Fofi, C Demonceaux IEEE Robotics and Automation Letters 1 (1), 324-331, 2016 | 39 | 2016 |
| Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map J Thoma, DP Paudel, A Chhatkuli, T Probst, LV Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 38 | 2019 |
| Consensus maximization with linear matrix inequality constraints P Speciale, D Pani Paudel, MR Oswald, T Kroeger, L Van Gool, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 37 | 2017 |
| Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets C Fernandez-Labrador, A Chhatkuli, DP Paudel, JJ Guerrero, ... Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 33 | 2020 |
| Understanding bird’s-eye view of road semantics using an onboard camera YB Can, A Liniger, O Unal, D Paudel, L Van Gool IEEE Robotics and Automation Letters 7 (2), 3302-3309, 2022 | 32 | 2022 |
| Collapse by conditioning: Training class-conditional GANs with limited data M Shahbazi, M Danelljan, DP Paudel, L Van Gool arXiv preprint arXiv:2201.06578, 2022 | 32 | 2022 |
Luc Van Goolprofessor computer vision ETHZ,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐinsait.ai의 이메일 확인됨
