activity
20232025
most citedA Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision

9 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Understanding Dynamic Scenes in Ego Centric 4D Point Clouds

Junsheng Huang, Shengyu Hao, Bocheng Hu +2

Understanding dynamic 4D scenes from an egocentric perspective-modeling changes in 3D spatial structure over time-is crucial for human-machine interaction, autonomous navigation, a…

cs.CV2025

Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field

Wenhao Hu, Wenhao Chai, Shengyu Hao +4

Achieving a consistent and compact 3D segmentation field is crucial for maintaining semantic coherence across views and accurately representing scene structures. Previous 3D scene…

cs.CV2024

Ego3DT: Tracking Every 3D Object in Ego-centric Videos

Shengyu Hao, Wenhao Chai, Zhonghan Zhao +8

The growing interest in embodied intelligence has brought ego-centric perspectives to contemporary research. One significant challenge within this realm is the accurate localizatio…

cs.CV2024★ 2 cited

CityCraft: A Real Crafter for 3D City Generation

Jie Deng, Wenhao Chai, Junsheng Huang +9

City scene generation has gained significant attention in autonomous driving, smart city development, and traffic simulation. It helps enhance infrastructure planning and monitorin…

cs.CV2023

Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving

Yizhou Wang, Jen-Hao Cheng, Jui-Te Huang +8

Sensor fusion is crucial for an accurate and robust perception system on autonomous vehicles. Most existing datasets and perception solutions focus on fusing cameras and LiDAR. How…

cs.AI2023

See and Think: Embodied Agent in Virtual Environment

Zhonghan Zhao, Wenhao Chai, Xuan Wang +5

Large language models (LLMs) have achieved impressive pro-gress on several open-world tasks. Recently, using LLMs to build embodied agents has been a hotspot. This paper proposes S…

cs.CV2023★ 9 cited

A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision

Zhonghan Zhao, Wenhao Chai, Shengyu Hao +6

Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive su…

cs.CV2023★ 1 cited

DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models

Shidong Cao, Wenhao Chai, Shengyu Hao +3

Image-based fashion design with AI techniques has attracted increasing attention in recent years. We focus on a new fashion design task, where we aim to transfer a reference appear…