178 citations · 187 across the 8 of their papers we have counts for
8 papers
Exploring Event-based Human Pose Estimation with 3D Event Representations
Xiaoting Yin, Hao Shi, Jiaan Chen +4
Human pose estimation is a fundamental and appealing task in computer vision. Although traditional cameras are commonly applied, their reliability decreases in scenarios under high…
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving
Zhonghua Yi, Hao Shi, Kailun Yang +5
Key-point-based scene understanding is fundamental for autonomous driving applications. At the same time, optical flow plays an important role in many vision tasks. However, due to…
Towards Anytime Optical Flow Estimation with Event Cameras
Yaozu Ye, Hao Shi, Kailun Yang +5
Event cameras respond to changes in log-brightness at the millisecond level, making them ideal for optical flow estimation. However, existing datasets from event cameras provide on…
FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation
Hao Shi, Yu Li, Kailun Yang +7
This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture, structure, and semantics of a fisheye image are inferred even beyond the sensor field-of-v…
Efficient Human Pose Estimation via 3D Event Point Cloud
Jiaan Chen, Hao Shi, Yaozu Ye +3
Human Pose Estimation (HPE) based on RGB images has experienced a rapid development benefiting from deep learning. However, event-based HPE has not been fully studied, which remain…
PanoFlow: Learning 360° Optical Flow for Surrounding Temporal Understanding
Hao Shi, Yifan Zhou, Kailun Yang +7
Optical flow estimation is a basic task in self-driving and robotics systems, which enables to temporally interpret traffic scenes. Autonomous vehicles clearly benefit from the ult…
Event-Based Fusion for Motion Deblurring with Cross-modal Attention
Lei Sun, Christos Sakaridis, Jingyun Liang +6
Traditional frame-based cameras inevitably suffer from motion blur due to long exposure times. As a kind of bio-inspired camera, the event camera records the intensity changes in a…
Universal Semantic Segmentation for Fisheye Urban Driving Images
Yaozu Ye, Kailun Yang, Kaite Xiang +2
Semantic segmentation is a critical method in the field of autonomous driving. When performing semantic image segmentation, a wider field of view (FoV) helps to obtain more informa…