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Yihong Xu is a Ph.D. student in the Perception team at INRIA since September 2018, directed by Dr. Xavier Alameda-Pineda and Dr. Radu Horaud. With the mobility grants from the Department for Science and Technology of the French Embassy in Berlin (SST) and Inria, he was a visiting Ph.D. student at the Dynamic Vision and Learning Group, Technical University of Munich, and was supervised by Dr. Aljosa Osep and Prof. Dr. Laura Leal-Taixé. He received his Engineer’s degree in computer vision from Télécom Bretagne (France, now IMT Atlantique) in 2018. He received his Bachelor’s degree in telecommunication engineering from Xidian University, China in 2015. He’s currently conducting his research on multi-object tracking and person reidentification. More details about him can be found from LinkedIn. His research interests include deep neural networks, multi-object tracking, and person reidentification. His publication list can be found in publications and Google scholar. The code for his projects can be found from Gitlab. Contact: INRIA Grenoble Rhone-Alpes 655, avenue de l’Europe 38330 Montbonnot Saint-Martin, France Email: yihong dot xu at inria dot fr |
Projects
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How To Train Your Deep Multi-Object Tracker
Y. Xu, A. Osep, Y. Ban, R. Horaud, L. Leal-Taixé, X. Alameda-Pineda. |
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CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification
G. Delorme, Y. Xu, S. Lathuilière, R. Horaud, X. Alameda-Pineda. |
Publications (Google Scholar)
- Y. Xu, A. Osep, Y. Ban, R. Horaud, L. Leal-Taixé, X. Alameda-Pineda. “How To Train Your Deep Multi-Object Tracker”. CVPR, 2020. [pdf] [project]
- G. Delorme, Y. Xu, S. Lathuilière, R. Horaud, X. Alameda-Pineda.”CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification”. ICPR, 2021. [pdf] [project]
