most citedT-GVC: Trajectory-Guided Generative Video Coding at Ultra-Low Bitrates

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM

Jack Qin, Zhitao Wang, Yinan Zheng +4

The autonomous driving (AD) system has exhibited remarkable performance in complex driving scenarios. However, generalization is still a key limitation for the current system, whic…

cs.RO2025

ReSeFlow: Rectifying SE(3)-Equivariant Policy Learning Flows

Zhitao Wang, Yanke Wang, Jiangtao Wen +2

Robotic manipulation in unstructured environments requires the generation of robust and long-horizon trajectory-level policy with conditions of perceptual observations and benefits…

cs.RO2025

Hybrid Perception and Equivariant Diffusion for Robust Multi-Node Rebar Tying

Zhitao Wang, Yirong Xiong, Roberto Horowitz +2

Rebar tying is a repetitive but critical task in reinforced concrete construction, typically performed manually at considerable ergonomic risk. Recent advances in robotic manipulat…

cs.CV2025★ 1 cited

T-GVC: Trajectory-Guided Generative Video Coding at Ultra-Low Bitrates

Zhitao Wang, Hengyu Man, Wenrui Li +3

Recent advances in video generation techniques have given rise to an emerging paradigm of generative video coding for Ultra-Low Bitrate (ULB) scenarios by leveraging powerful gener…

cs.RO2021

Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles

Zhitao Wang, Yuzheng Zhuang, Qiang Gu +3

For autonomous vehicles integrating onto roadways with human traffic participants, it requires understanding and adapting to the participants' intention and driving styles by respo…