collaborators

5 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…