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20212024
most citedMulti-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation

75 citations · 100 across the 23 of their papers we have counts for

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cs.CV20241 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.CV20242 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

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer

Qian Feng, Hanbin Zhao, Chao Zhang +4

Incremental Learning (IL) aims to learn deep models on sequential tasks continually, where each new task includes a batch of new classes and deep models have no access to task-ID i…

cs.CV20241 cited

PVUW 2024 Challenge on Complex Video Understanding: Methods and Results

Henghui Ding, Chang Liu, Yunchao Wei +34

Pixel-level Video Understanding in the Wild Challenge (PVUW) focus on complex video understanding. In this CVPR 2024 workshop, we add two new tracks, Complex Video Object Segmentat…

cs.CV20242 cited

A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models

Xincheng Shuai, Henghui Ding, Xingjun Ma +3

Image editing aims to edit the given synthetic or real image to meet the specific requirements from users. It is widely studied in recent years as a promising and challenging field…