10 papers
Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
Hao Tang, Zechao Li, Dong Zhang +2
RGB-Thermal Salient Object Detection aims to pinpoint prominent objects within aligned pairs of visible and thermal infrared images. Traditional encoder-decoder architectures, whil…
Fast Disentangled Slim Tensor Learning for Multi-view Clustering
Deng Xu, Chao Zhang, Zechao Li +2
Tensor-based multi-view clustering has recently received significant attention due to its exceptional ability to explore cross-view high-order correlations. However, most existing…
IMAGDressing-v1: Customizable Virtual Dressing
Fei Shen, Xin Jiang, Xin He +5
Latest advances have achieved realistic virtual try-on (VTON) through localized garment inpainting using latent diffusion models, significantly enhancing consumers' online shopping…
A Recover-then-Discriminate Framework for Robust Anomaly Detection
Peng Xing, Dong Zhang, Jinhui Tang +1
Anomaly detection (AD) has been extensively studied and applied in a wide range of scenarios in the recent past. However, there are still gaps between achieved and desirable levels…
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter
Peng Xing, Ning Wang, Jianbo Ouyang +1
The remarkable advancement in text-to-image generation models significantly boosts the research in ID customization generation. However, existing personalization methods cannot sim…
DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines
Xin Jiang, Hao Tang, Rui Yan +2
Fine-grained image retrieval (FGIR) is to learn visual representations that distinguish visually similar objects while maintaining generalization. Existing methods propose to gener…