activity
20192025
most citedHow To Train Your Deep Multi-Object Tracker

25 citations · 51 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Tracking-Aware Deformation Field Estimation for Non-rigid 3D Reconstruction in Robotic Surgeries

Zeqing Wang, Han Fang, Yihong Xu +1

Minimally invasive procedures have been advanced rapidly by the robotic laparoscopic surgery. The latter greatly assists surgeons in sophisticated and precise operations with reduc…

cs.MM2022

Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining

Hanyu Xuan, Yihong Xu, Shuo Chen +4

The recent success of audio-visual representation learning can be largely attributed to their pervasive property of audio-visual synchronization, which can be used as self-annotate…

cs.CV2021★ 12 cited

TransCenter: Transformers with Dense Representations for Multiple-Object Tracking

Yihong Xu, Yutong Ban, Guillaume Delorme +3

Transformers have proven superior performance for a wide variety of tasks since they were introduced. In recent years, they have drawn attention from the vision community in tasks…

cs.CV2019★ 25 cited

How To Train Your Deep Multi-Object Tracker

Yihong Xu, Aljosa Osep, Yutong Ban +3

The recent trend in vision-based multi-object tracking (MOT) is heading towards leveraging the representational power of deep learning to jointly learn to detect and track objects.…

cs.CV2019★ 14 cited

CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification

Guillaume Delorme, Yihong Xu, Stephane Lathuilière +2

Unsupervised person re-ID is the task of identifying people on a target data set for which the ID labels are unavailable during training. In this paper, we propose to unify two tre…