activity
20192023
most citedMultiple Object Tracking by Flowing and Fusing

29 citations · 59 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2023

XVO: Generalized Visual Odometry via Cross-Modal Self-Training

Lei Lai, Zhongkai Shangguan, Jimuyang Zhang +1

We propose XVO, a semi-supervised learning method for training generalized monocular Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and sett…

cs.CV2023

Coaching a Teachable Student

Jimuyang Zhang, Zanming Huang, Eshed Ohn-Bar

We propose a novel knowledge distillation framework for effectively teaching a sensorimotor student agent to drive from the supervision of a privileged teacher agent. Current disti…

cs.CV2022★ 1 cited

SelfD: Self-Learning Large-Scale Driving Policies From the Web

Jimuyang Zhang, Ruizhao Zhu, Eshed Ohn-Bar

Effectively utilizing the vast amounts of ego-centric navigation data that is freely available on the internet can advance generalized intelligent systems, i.e., to robustly scale…

cs.CV2021

Learning by Watching

Jimuyang Zhang, Eshed Ohn-Bar

When in a new situation or geographical location, human drivers have an extraordinary ability to watch others and learn maneuvers that they themselves may have never performed. In…

cs.CV2020★ 29 cited

Multiple Object Tracking by Flowing and Fusing

Jimuyang Zhang, Sanping Zhou, Xin Chang +4

Most of Multiple Object Tracking (MOT) approaches compute individual target features for two subtasks: estimating target-wise motions and conducting pair-wise Re-Identification (Re…

cs.CV2019★ 11 cited

Frame-wise Motion and Appearance for Real-time Multiple Object Tracking

Jimuyang Zhang, Sanping Zhou, Jinjun Wang +1

The main challenge of Multiple Object Tracking (MOT) is the efficiency in associating indefinite number of objects between video frames. Standard motion estimators used in tracking…

eess.SP2019★ 18 cited

Temporal Unet: Sample Level Human Action Recognition using WiFi

Fei Wang, Yunpeng Song, Jimuyang Zhang +2

Human doing actions will result in WiFi distortion, which is widely explored for action recognition, such as the elderly fallen detection, hand sign language recognition, and keyst…