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cs.CV2025

Event-guided 3D Gaussian Splatting for Dynamic Human and Scene Reconstruction

Xiaoting Yin, Hao Shi, Kailun Yang +4

Reconstructing dynamic humans together with static scenes from monocular videos remains difficult, especially under fast motion, where RGB frames suffer from motion blur. Event cam…

cs.CV2025

EgoEvGesture: Gesture Recognition Based on Egocentric Event Camera

Luming Wang, Hao Shi, Xiaoting Yin +3

Egocentric gesture recognition is a pivotal technology for enhancing natural human-computer interaction, yet traditional RGB-based solutions suffer from motion blur and illuminatio…

cs.CV2025

Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving

Hao Shi, Song Wang, Jiaming Zhang +5

Vision-based occupancy prediction, also known as 3D Semantic Scene Completion (SSC), presents a significant challenge in computer vision. Previous methods, confined to onboard proc…

cs.CV2025

E-3DGS: Gaussian Splatting with Exposure and Motion Events

Xiaoting Yin, Hao Shi, Yuhan Bao +4

Achieving 3D reconstruction from images captured under optimal conditions has been extensively studied in the vision and imaging fields. However, in real-world scenarios, challenge…

cs.CV2025

Event-aided Semantic Scene Completion

Shangwei Guo, Hao Shi, Song Wang +3

Autonomous driving systems rely on robust 3D scene understanding. Recent advances in Semantic Scene Completion (SSC) for autonomous driving underscore the limitations of RGB-based…

cs.CV2024

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…