activity
20192026
most citedUnderstanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

8 citations · 17 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models

Chengjie Hong, Feixiang He, Yiheng Zeng +2

We propose a new method for compressing physics foundation models (PFMs) which is a new trend in AI for Science. While model compression is essential for reducing memory use and ac…

cs.CV2026

A Step to Decouple Optimization in 3DGS

Renjie Ding, Yaonan Wang, Min Liu +6

3D Gaussian Splatting (3DGS) has emerged as a powerful technique for real-time novel view synthesis. As an explicit representation optimized through gradient propagation among prim…

cs.CV2025

3D Student Splatting and Scooping

Jialin Zhu, Jiangbei Yue, Feixiang He +1

Recently, 3D Gaussian Splatting (3DGS) provides a new framework for novel view synthesis, and has spiked a new wave of research in neural rendering and related applications. As 3DG…

cs.CV2025

Learning Extremely High Density Crowds as Active Matters

Feixiang He, Jiangbei Yue, Jialin Zhu +4

Video-based high-density crowd analysis and prediction has been a long-standing topic in computer vision. It is notoriously difficult due to, but not limited to, the lack of high-q…

cs.CV2022

iPLAN: Interactive and Procedural Layout Planning

Feixiang He, Yanlong Huang, He Wang

Layout design is ubiquitous in many applications, e.g. architecture/urban planning, etc, which involves a lengthy iterative design process. Recently, deep learning has been leverag…

cs.CV2021★ 8 cited

Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

He Wang, Feixiang He, Zhexi Peng +4

Action recognition has been heavily employed in many applications such as autonomous vehicles, surveillance, etc, where its robustness is a primary concern. In this paper, we exami…

cs.GR2020★ 4 cited

Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance

Feixiang He, Yuanhang Xiang, Xi Zhao +1

Crowd simulation is a central topic in several fields including graphics. To achieve high-fidelity simulations, data has been increasingly relied upon for analysis and simulation g…

cs.CV2019★ 5 cited

SMART: Skeletal Motion Action Recognition aTtack

He Wang, Feixiang He, Zhexi Peng +4

Adversarial attack has inspired great interest in computer vision, by showing that classification-based solutions are prone to imperceptible attack in many tasks. In this paper, we…