activity
20222025
most citedSpherical Transformer for LiDAR-based 3D Recognition

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay

Fanbin Lu, Zhisheng Zhong, Shu Liu +2

Training large language models (LLMs) as interactive agents for controlling graphical user interfaces (GUIs) presents a unique challenge to optimize long-horizon action sequences w…

cs.CV2025

STEVE: A Step Verification Pipeline for Computer-use Agent Training

Fanbin Lu, Zhisheng Zhong, Ziqin Wei +3

Developing AI agents to autonomously manipulate graphical user interfaces is a long challenging task. Recent advances in data scaling law inspire us to train computer-use agents wi…

cs.CV2025

Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

Yuqi Liu, Bohao Peng, Zhisheng Zhong +4

Traditional methods for reasoning segmentation rely on supervised fine-tuning with categorical labels and simple descriptions, limiting its out-of-domain generalization and lacking…

cs.CV2023★ 3 cited

Spherical Transformer for LiDAR-based 3D Recognition

Xin Lai, Yukang Chen, Fanbin Lu +2

LiDAR-based 3D point cloud recognition has benefited various applications. Without specially considering the LiDAR point distribution, most current methods suffer from information…

cs.CV2022★ 1 cited

Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds

Wu Zheng, Li Jiang, Fanbin Lu +2

To boost a detector for single-frame 3D object detection, we present a new approach to train it to simulate features and responses following a detector trained on multi-frame point…