activity
20212026
most citedUnderstanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

8 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

RRG-SLAM: Real-time Reflection-aware Gaussian SLAM for Indoor Scenes

Yong Liu, Keyang Ye, Zhexi Peng +3

We introduce the first real-time reflection-aware Gaussian SLAM system for indoor scenes. The system features a reflection-aware TSDF-Gaussian hybrid representation that explicitly…

cs.CV2025

Gaussian-Plus-SDF SLAM: High-fidelity 3D Reconstruction at 150+ fps

Zhexi Peng, Kun Zhou, Tianjia Shao

While recent Gaussian-based SLAM methods achieve photorealistic reconstruction from RGB-D data, their computational performance remains a critical bottleneck. State-of-the-art tech…

cs.CV2024★ 3 cited

RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting

Zhexi Peng, Tianjia Shao, Yong Liu +4

We present Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting. The system features a…

cs.RO2024★ 3 cited

X-SLAM: Scalable Dense SLAM for Task-aware Optimization using CSFD

Zhexi Peng, Yin Yang, Tianjia Shao +2

We present X-SLAM, a real-time dense differentiable SLAM system that leverages the complex-step finite difference (CSFD) method for efficient calculation of numerical derivatives,…

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…