activity
20232026
most citedSpectrally Pruned Gaussian Fields with Neural Compensation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms

Lingdong Kong, Shaoyuan Xie, Zeying Gong +135

Autonomous systems are increasingly deployed in open and dynamic environments -- from city streets to aerial and indoor spaces -- where perception models must remain reliable under…

cs.CR2025

Never compromise with vulnerabilities: a comprehensive survey on AI governance

Yuchu Jiang, Jian Zhao, Yuchen Yuan +62

The rapid advancement of AI has expanded its capabilities across domains, yet introduced critical technical vulnerabilities, such as algorithmic bias and adversarial sensitivity, t…

cs.CV2024

UnitedVLN: Generalizable Gaussian Splatting for Continuous Vision-Language Navigation

Guangzhao Dai, Jian Zhao, Yuantao Chen +6

Vision-and-Language Navigation (VLN), where an agent follows instructions to reach a target destination, has recently seen significant advancements. In contrast to navigation in di…

cs.CV2024★ 1 cited

Spectrally Pruned Gaussian Fields with Neural Compensation

Runyi Yang, Zhenxin Zhu, Zhou Jiang +6

Recently, 3D Gaussian Splatting, as a novel 3D representation, has garnered attention for its fast rendering speed and high rendering quality. However, this comes with high memory…

cs.CV2023

3D Implicit Transporter for Temporally Consistent Keypoint Discovery

Chengliang Zhong, Yuhang Zheng, Yupeng Zheng +9

Keypoint-based representation has proven advantageous in various visual and robotic tasks. However, the existing 2D and 3D methods for detecting keypoints mainly rely on geometric…