| How to train your deep multi-object tracker Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixé, X Alameda-Pineda Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 242 | 2020 |
| Transcenter: Transformers with dense queries for multiple-object tracking Y Xu, Y Ban, G Delorme, C Gan, D Rus, X Alameda-Pineda IEEE transactions on pattern analysis and machine intelligence, 2021 | 238* | 2021 |
| Deepmot: A differentiable framework for training multiple object trackers Y Xu, Y Ban, X Alameda-Pineda, R Horaud arXiv preprint arXiv:1906.06618 10 (11), 2019 | 54 | 2019 |
| CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification G Delorme, Y Xu, S Lathuilière, R Horaud, X Alameda-Pineda International Conference on Pattern Recognition, 2020 | 17 | 2020 |
| Towards motion forecasting with real-world perception inputs: Are end-to-end approaches competitive? Y Xu, L Chambon, É Zablocki, M Chen, A Alahi, M Cord, P Pérez 2024 IEEE International Conference on Robotics and Automation (ICRA), 18428 …, 2024 | 10 | 2024 |
| Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression J Shi, Y Xu, C Guillemot IEEE Transactions on Image Processing, 2024 | 2 | 2024 |
| Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving Y Xu, L Chambon, É Zablocki, M Chen, M Cord, P Pérez arXiv preprint arXiv:2306.09281, 2023 | 1 | 2023 |
| Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination. H Xuan, Y Xu, S Chen, Z Wu, J Yang, Y Yan, X Alameda-Pineda IJCAI, 3643-3649, 2022 | 1 | 2022 |
| Annealed Winner-Takes-All for Motion Forecasting Y Xu, V Letzelter, M Chen, É Zablocki, M Cord arXiv preprint arXiv:2409.11172, 2024 | | 2024 |
| Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking L Vaquero, Y Xu, X Alameda-Pineda, VM Brea, M Mucientes arXiv preprint arXiv:2407.10151, 2024 | | 2024 |
| Valeo4Cast: A Modular Approach to End-to-End Forecasting Y Xu, É Zablocki, A Boulch, G Puy, M Chen, F Bartoccioni, N Samet, ... arXiv preprint arXiv:2406.08113, 2024 | | 2024 |
| Supplementary Material: How To Train Your Deep Multi-Object Tracker Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixé, X Alameda-Pineda | | 2019 |
Xavier Alameda-PinedaResearch Director, Leader of the RobotLearn Team, InriaVerified email at inria.fr
