551 citations · 966 across the 62 of their papers we have counts for
14 papers · 1 filter
Coarse-to-Fine Amodal Segmentation with Shape Prior
Jianxiong Gao, Xuelin Qian, Yikai Wang +4
Amodal object segmentation is a challenging task that involves segmenting both visible and occluded parts of an object. In this paper, we propose a novel approach, called Coarse-to…
WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model
Tianyu Wang, Yifan Li, Haitao Lin +2
Enabling robots to understand language instructions and react accordingly to visual perception has been a long-standing goal in the robotics research community. Achieving this goal…
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
Qizao Wang, Xuelin Qian, Bin Li +2
Person Re-IDentification (Re-ID) as a retrieval task, has achieved tremendous development over the past decade. Existing state-of-the-art methods follow an analogous framework to f…
Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning
Linbo Wang, Jing Wu, Xianyong Fang +3
Recent studies of two-view correspondence learning usually establish an end-to-end network to jointly predict correspondence reliability and relative pose. We improve such a framew…
PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring
Haitao Lin, Yanwei Fu, Xiangyang Xue
Liquid perception is critical for robotic pouring tasks. It usually requires the robust visual detection of flowing liquid. However, while recent works have shown promising results…
Pushing the Limits of 3D Shape Generation at Scale
Yu Wang, Xuelin Qian, Jingyang Huo +3
We present a significant breakthrough in 3D shape generation by scaling it to unprecedented dimensions. Through the adaptation of the Auto-Regressive model and the utilization of l…