activity
20232026
most citedRefMask3D: Language-Guided Transformer for 3D Referring Segmentation

2 citations · 6 across the 13 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 1 cited

3D-GRES: Generalized 3D Referring Expression Segmentation

Changli Wu, Yihang Liu, Jiayi Ji +6

3D Referring Expression Segmentation (3D-RES) is dedicated to segmenting a specific instance within a 3D space based on a natural language description. However, current approaches…

cs.CV2024★ 2 cited

RefMask3D: Language-Guided Transformer for 3D Referring Segmentation

Shuting He, Henghui Ding

3D referring segmentation is an emerging and challenging vision-language task that aims to segment the object described by a natural language expression in a point cloud scene. The…

cs.CV2024

SegPoint: Segment Any Point Cloud via Large Language Model

Shuting He, Henghui Ding, Xudong Jiang +1

Despite significant progress in 3D point cloud segmentation, existing methods primarily address specific tasks and depend on explicit instructions to identify targets, lacking the…

cs.CV2024

Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimation

Zejun Gu, Zhong-Qiu Zhao, Henghui Ding +3

In practical applications of human pose estimation, low-resolution inputs frequently occur, and existing state-of-the-art models perform poorly with low-resolution images. This wor…

cs.CV2024

Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation

Shuting He, Henghui Ding

Referring video segmentation relies on natural language expressions to identify and segment objects, often emphasizing motion clues. Previous works treat a sentence as a whole and…