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20182026
most citedFactor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery

38 citations · 82 across the 42 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

Subject Information Extraction for Novelty Detection with Domain Shifts

Yangyang Qu, Dazhi Fu, Jicong Fan

Unsupervised novelty detection (UND), aimed at identifying novel samples, is essential in fields like medical diagnosis, cybersecurity, and industrial quality control. Most existin…

cs.CV2025★ 11 cited

FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting

Dongliang Zhou, Haijun Zhang, Jianghong Ma +2

Outfit generation is a challenging task in the field of fashion technology, in which the aim is to create a collocated set of fashion items that complement a given set of items. Pr…

cs.CV2024★ 2 cited

DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection

Ruituo Wu, Yang Chen, Jian Xiao +5

Cooperation between temporal convolutional networks (TCN) and graph convolutional networks (GCN) as a processing module has shown promising results in skeleton-based video anomaly…

cs.CV2024★ 1 cited

Exploiting Regional Information Transformer for Single Image Deraining

Baiang Li, Zhao Zhang, Huan Zheng +5

Transformer-based Single Image Deraining (SID) methods have achieved remarkable success, primarily attributed to their robust capability in capturing long-range interactions. Howev…

cs.CV2022

Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark

Huan Zheng, Zhao Zhang, Jicong Fan +3

Low-light stereo image enhancement (LLSIE) is a relatively new task to enhance the quality of visually unpleasant stereo images captured in dark condition. However, current methods…

cs.CV2022★ 3 cited

Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization

Yangcheng Gao, Zhao Zhang, Richang Hong +3

To obtain lower inference latency and less memory footprint of deep neural networks, model quantization has been widely employed in deep model deployment, by converting the floatin…