activity
20222026
most citedVLT: Vision-Language Transformer and Query Generation for Referring Segmentation

152 citations · 317 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 3 cited

MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions

Henghui Ding, Chang Liu, Shuting He +2

This paper strives for motion expressions guided video segmentation, which focuses on segmenting objects in video content based on a sentence describing the motion of the objects.…

cs.CV2023★ 2 cited

GREC: Generalized Referring Expression Comprehension

Shuting He, Henghui Ding, Chang Liu +1

The objective of Classic Referring Expression Comprehension (REC) is to produce a bounding box corresponding to the object mentioned in a given textual description. Commonly, exist…

cs.CV2023★ 2 cited

GRES: Generalized Referring Expression Segmentation

Chang Liu, Henghui Ding, Xudong Jiang

Referring Expression Segmentation (RES) aims to generate a segmentation mask for the object described by a given language expression. Existing classic RES datasets and methods comm…

cs.CV2023★ 75 cited

Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation

Chang Liu, Henghui Ding, Yulun Zhang +1

We address the problem of referring image segmentation that aims to generate a mask for the object specified by a natural language expression. Many recent works utilize Transformer…

cs.CV2023★ 6 cited

MOSE: A New Dataset for Video Object Segmentation in Complex Scenes

Henghui Ding, Chang Liu, Shuting He +3

Video object segmentation (VOS) aims at segmenting a particular object throughout the entire video clip sequence. The state-of-the-art VOS methods have achieved excellent performan…