29 citations · 59 across the 5 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
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…