activity
20242026
most citedEvaluating SAM2 for Video Semantic Segmentation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

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.CV20251 cited

Evaluating SAM2 for Video Semantic Segmentation

Syed Hesham Syed Ariff, Yun Liu, Guolei Sun +4

The Segmentation Anything Model 2 (SAM2) has proven to be a powerful foundation model for promptable visual object segmentation in both images and videos, capable of storing object…

cs.CV2025

Open-set Anomaly Segmentation in Complex Scenarios

Song Xia, Yi Yu, Henghui Ding +4

Precise segmentation of out-of-distribution (OoD) objects, herein referred to as anomalies, is crucial for the reliable deployment of semantic segmentation models in open-set, safe…

cs.LG2025

Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems

Song Xia, Yi Yu, Wenhan Yang +5

By locally encoding raw data into intermediate features, collaborative inference enables end users to leverage powerful deep learning models without exposure of sensitive raw data…

eess.IV2025

Exploiting Temporal State Space Sharing for Video Semantic Segmentation

Syed Ariff Syed Hesham, Yun Liu, Guolei Sun +5

Video semantic segmentation (VSS) plays a vital role in understanding the temporal evolution of scenes. Traditional methods often segment videos frame-by-frame or in a short tempor…

cs.CV2025

Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension

Yaxian Wang, Henghui Ding, Shuting He +3

In this work, we address the challenging task of Generalized Referring Expression Comprehension (GREC). Compared to the classic Referring Expression Comprehension (REC) that focuse…