152 citations · 317 across the 10 of their papers we have counts for
12 papers
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation
Ruiqi Shen, Chang Liu, Henghui Ding
Modern Video Object Segmentation (VOS) involves tracking and segmenting user-specified targets. While recent approaches have achieved remarkable performance in single-target scenar…
SAM3-DMS: Decoupled Memory Selection for Multi-target Video Segmentation of SAM3
Ruiqi Shen, Chang Liu, Henghui Ding
Segment Anything 3 (SAM3) has established a powerful foundation that robustly detects, segments, and tracks specified targets in videos. However, in its original implementation, it…
GREx: Generalized Referring Expression Segmentation, Comprehension, and Generation
Henghui Ding, Chang Liu, Shuting He +2
Referring Expression Segmentation (RES) and Comprehension (REC) respectively segment and detect the object described by an expression, while Referring Expression Generation (REG) g…
MeViS: A Multi-Modal Dataset for Referring Motion Expression Video Segmentation
Henghui Ding, Chang Liu, Shuting He +4
This paper proposes a large-scale multi-modal dataset for referring motion expression video segmentation, focusing on segmenting and tracking target objects in videos based on lang…
Multimodal Referring Segmentation: A Survey
Henghui Ding, Song Tang, Shuting He +3
Multimodal referring segmentation aims to segment target objects in visual scenes, such as images, videos, and 3D scenes, based on referring expressions in text or audio format. Th…
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.…
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…
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…
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…
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…
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
Henghui Ding, Chang Liu, Suchen Wang +1
We propose a Vision-Language Transformer (VLT) framework for referring segmentation to facilitate deep interactions among multi-modal information and enhance the holistic understan…
Instance-Specific Feature Propagation for Referring Segmentation
Chang Liu, Xudong Jiang, Henghui Ding
Referring segmentation aims to generate a segmentation mask for the target instance indicated by a natural language expression. There are typically two kinds of existing methods: o…