15 citations · 15 across the 6 of their papers we have counts for
8 papers
Loop-Mamba: A Loop Mamba with Degradation-Aware and Shared Memory for Old Photo Restoration
Runci Bai, Yucheng Xin, Pu Wang +8
Old photographs often suffer from multiple coupled degradations, including scratches, cracks, fading, blur, noise, and missing regions, severely degrading both visual quality and s…
SFDATrack: Generalized Source-Free Domain Adaptive Tracking Under Adverse Weather Conditions
Siyuan Yao, Ziqi Wang, Ruiqi Yu +3
Domain adaptive visual object tracking under adverse weather conditions has garnered significant attention in recent years. Despite the impressive performance, existing methods hea…
DyFrDet: Towards Accurate Small Object Detection via Dynamic Frequency Suppression with Label Disambiguation
Zihan Yang, Yang Guo, Hongxing Zhang +2
Despite the remarkable progress over the past decades, accurately identifying small objects remains challenging because of their insufficient visual cues. Previous works typically…
MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration
Yongcong Wang, Pu Wang, Hingchin Chen +8
Real-world video arrives hazy, rainy, dark, or noisy, and a deployable restorer faces three demands at once: no degradation label, native 4K output, and stability in playback. Exis…
Adaptive Spectrum-Aware Feature Disentangled Network for Small Object Detection
Yang Guo, Zihan Yang, Feifei Kou +3
Small Object Detection (SOD) is a fundamental yet challenging problem in computer vision due to its limited spatial resolution and weak visual cues. Although recent approaches have…
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
Siyuan Yao, Rui Zhu, Ziqi Wang +3
Visual object tracking has gained promising progress in past decades. Most of the existing approaches focus on learning target representation in well-conditioned daytime data, whil…
UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network
Siyuan Yao, Yang Guo, Yanyang Yan +2
Transformer-based trackers have achieved promising success and become the dominant tracking paradigm due to their accuracy and efficiency. Despite the substantial progress, most of…
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
Siyuan Yao, Hao Sun, Tian-Zhu Xiang +2
Camouflaged object detection (COD) aims to identify the objects that seamlessly blend into the surrounding backgrounds. Due to the intrinsic similarity between the camouflaged obje…