1 citations · 2 across the 6 of their papers we have counts for
6 papers
ST-: Structured SpatioTemporal VLA for Robotic Manipulation
Chuanhao Ma, Hanyu Zhou, Shihan Peng +3
Vision-language-action (VLA) models have achieved great success on general robotic tasks, but still face challenges in fine-grained spatiotemporal manipulation. Typically, existing…
Adapting Depth Anything to Adverse Imaging Conditions with Events
Shihan Peng, Yuyang Xiong, Hanyu Zhou +5
Robust depth estimation under dynamic and adverse lighting conditions is essential for robotic systems. Currently, depth foundation models, such as Depth Anything, achieve great su…
CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving
Shihan Peng, Hanyu Zhou, Hao Dong +5
Conventional frame camera is the mainstream sensor of the autonomous driving scene perception, while it is limited in adverse conditions, such as low light. Event camera with high…
LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising
Yuxing Duan, Shihan Peng, Lin Zhu +4
Event camera has significant advantages in capturing dynamic scene information while being prone to noise interference, particularly in challenging conditions like low threshold an…
Seeing Motion at Nighttime with an Event Camera
Haoyue Liu, Shihan Peng, Lin Zhu +3
We focus on a very challenging task: imaging at nighttime dynamic scenes. Most previous methods rely on the low-light enhancement of a conventional RGB camera. However, they would…
JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection
Hanyu Zhou, Zhiwei Shi, Hao Dong +3
Event-based moving object detection is a challenging task, where static background and moving object are mixed together. Typically, existing methods mainly align the background eve…