activity
20242026
collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies

Ganlin Yang, Zhangzheng Tu, Yuqiang Yang +10

Memory remains a critical bottleneck for long-horizon robotic manipulation, as standard Vision-Language-Action (VLA) policies often fail when task-relevant cues become occluded or…

cs.CV2025

Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes

Mohsen Gholami, Ahmad Rezaei, Zhou Weimin +4

Understanding 3D spatial relationships remains a major limitation of current Vision-Language Models (VLMs). Prior work has addressed this issue by creating spatial question-answeri…

cs.CV2025

Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies

Zhixuan Liang, Yizhuo Li, Tianshuo Yang +9

Vision-Language-Action (VLA) models adapt large vision-language backbones to map images and instructions into robot actions. However, prevailing VLAs either generate actions autore…

cs.CV2025

PanopticSplatting: End-to-End Panoptic Gaussian Splatting

Yuxuan Xie, Xuan Yu, Changjian Jiang +5

Open-vocabulary panoptic reconstruction is a challenging task for simultaneous scene reconstruction and understanding. Recently, methods have been proposed for 3D scene understandi…

cs.CV2024

Scale Disparity of Instances in Interactive Point Cloud Segmentation

Chenrui Han, Xuan Yu, Yuxuan Xie +5

Interactive point cloud segmentation has become a pivotal task for understanding 3D scenes, enabling users to guide segmentation models with simple interactions such as clicks, the…

cs.CV2024

Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction

Yili Liu, Linzhan Mou, Xuan Yu +4

Accurate perception of the dynamic environment is a fundamental task for autonomous driving and robot systems. This paper introduces Let Occ Flow, the first self-supervised work fo…