38 citations · 82 across the 42 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…
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…