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Yihong Xu
Yihong Xu
Research [email protected]; PhD from RobotLearn, Inria Grenoble
Bestätigte E-Mail-Adresse bei valeo.com
Titel
Zitiert von
Zitiert von
Jahr
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
272*2021
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
2552020
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
562019
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
172020
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
132024
Learning kernel-modulated neural representation for efficient light field compression
J Shi, Y Xu, C Guillemot
IEEE Transactions on Image Processing, 2024
62024
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
32024
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
12024
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
12023
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
12022
PPT: Pre-Training with Pseudo-Labeled Trajectories for Motion Forecasting
Y Xu, Y Yin, TH Vu, A Boulch, É Zablocki, M Cord
arXiv preprint arXiv:2412.06491, 2024
2024
Annealed Winner-Takes-All for Motion Forecasting
Y Xu, V Letzelter, M Chen, É Zablocki, M Cord
arXiv preprint arXiv:2409.11172, 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
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