activity
20232025
most citedSOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation

14 citations · 18 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2025

Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation

Shuyang Li, Shuang Wang, Zhuangzhuang Sun +1

The Reference Remote Sensing Image Segmentation (RRSIS) task generates segmentation masks for specified objects in images based on textual descriptions, which has attracted widespr…

cs.CV2025

EventVAD: Training-Free Event-Aware Video Anomaly Detection

Yihua Shao, Haojin He, Sijie Li +11

Video Anomaly Detection~(VAD) focuses on identifying anomalies within videos. Supervised methods require an amount of in-domain training data and often struggle to generalize to un…

eess.IV2024

AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation

Zexin Li, Yiyang Lin, Zijie Fang +2

Different types of staining highlight different structures in organs, thereby assisting in diagnosis. However, due to the impossibility of repeated staining, we cannot obtain diffe…

cs.CV2023

XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation

Qiang Li, Dan Zhang, Shengzhao Lei +5

Despite the promising performance of existing visual models on public benchmarks, the critical assessment of their robustness for real-world applications remains an ongoing challen…

cs.CV2023★ 14 cited

SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation

Zhuoyan Luo, Yicheng Xiao, Yong Liu +5

This paper studies referring video object segmentation (RVOS) by boosting video-level visual-linguistic alignment. Recent approaches model the RVOS task as a sequence prediction pr…

cs.CV2023

Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation

mengqun Jin, Kai Li, Shuyan Li +2

Semi-Supervised Domain Adaptation (SSDA) is a recently emerging research topic that extends from the widely-investigated Unsupervised Domain Adaptation (UDA) by further having a fe…

cs.CV2023★ 1 cited

SSGD: A smartphone screen glass dataset for defect detection

Haonan Han, Rui Yang, Shuyan Li +2

Interactive devices with touch screen have become commonly used in various aspects of daily life, which raises the demand for high production quality of touch screen glass. While i…

cs.SD2023

SemanticAC: Semantics-Assisted Framework for Audio Classification

Yicheng Xiao, Yue Ma, Shuyan Li +3

In this paper, we propose SemanticAC, a semantics-assisted framework for Audio Classification to better leverage the semantic information. Unlike conventional audio classification…

cs.CV2023★ 3 cited

Adversarial Alignment for Source Free Object Detection

Qiaosong Chu, Shuyan Li, Guangyi Chen +2

Source-free object detection (SFOD) aims to transfer a detector pre-trained on a label-rich source domain to an unlabeled target domain without seeing source data. While most exist…