| ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation TH Vu, H Jain, M Bucher, M Cord, P Pérez CVPR 2019, 2019 | 1144 | 2019 |
| Zero-shot Semantic Segmentation M Bucher, TH Vu, M Cord, P Pérez NeuRIPS 2019, 2019 | 219 | 2019 |
| DADA: Depth-aware Domain Adaptation in Semantic Segmentation TH Vu, H Jain, M Bucher, M Cord, P Pérez ICCV 2019, 2019 | 177 | 2019 |
| Context-aware CNNs for person head detection TH Vu, A Osokin, I Laptev ICCV, 2893-2901, 2015 | 157 | 2015 |
| xmuda: Cross-modal unsupervised domain adaptation for 3d semantic segmentation M Jaritz, TH Vu, R Charette, E Wirbel, P Pérez Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 148 | 2020 |
| Predicting actions from static scenes TH Vu, C Olsson, I Laptev, A Oliva, J Sivic ECCV, 421-436, 2014 | 73 | 2014 |
| ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation A Saporta, TH Vu, M Cord, P Pérez CVPR 2020 Workshop on Scalability in Autonomous Driving, 2020 | 42 | 2020 |
| Confidence estimation via auxiliary models C Corbiere, N Thome, A Saporta, TH Vu, M Cord, P Perez IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6043 …, 2021 | 32 | 2021 |
| Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation A Saporta, TH Vu, M Cord, P Pérez ICCV, 2021 | 29 | 2021 |
| Cross-modal learning for domain adaptation in 3d semantic segmentation M Jaritz, TH Vu, R De Charette, É Wirbel, P Pérez IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1533-1544, 2022 | 25 | 2022 |
| Vrunet: Multi-task learning model for intent prediction of vulnerable road users A Ranga, F Giruzzi, J Bhanushali, E Wirbel, P Pérez, TH Vu, X Perrotton arXiv preprint arXiv:2007.05397, 2020 | 17 | 2020 |
| Multi-head distillation for continual unsupervised domain adaptation in semantic segmentation A Saporta, A Douillard, TH Vu, P Pérez, M Cord Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
| Memory Warps for Learning Long-Term Online Video Representations TH Vu, W Choi, S Schulter, M Chandraker WACV 2019, 2018 | 12 | 2018 |
| Cross-task Attention Mechanism for Dense Multi-task Learning I Lopes, TH Vu, R de Charette Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 10 | 2023 |
| Semantic palette: Guiding scene generation with class proportions G Le Moing, TH Vu, H Jain, P Pérez, M Cord Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8 | 2021 |
| Online flow guided memory networks for object detection in video W Choi, S Schulter, TH Vu, M Chandraker US Patent 10,733,756, 2020 | 6 | 2020 |
| Handling new target classes in semantic segmentation with domain adaptation M Bucher, TH Vu, M Cord, P Pérez Computer Vision and Image Understanding 212, 103258, 2021 | 5 | 2021 |
| PODA: Prompt-driven Zero-shot Domain Adaptation M Fahes, TH Vu, A Bursuc, P Pérez, R de Charette Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Tube-CNN: Modeling temporal evolution of appearance for object detection in video TH Vu, A Osokin, I Laptev arXiv preprint arXiv: 1812.02619, 2018 | 3 | 2018 |
| P {\O} DA: Prompt-driven Zero-shot Domain Adaptation M Fahes, TH Vu, A Bursuc, P Pérez, R de Charette arXiv preprint arXiv:2212.03241, 2022 | 2 | 2022 |
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