5 papers
Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning
Zhihua Xu, Zhijing Yang, Yufeng Yang +1
Training deep learning models with freely available web images can reduce their dependence on costly manual annotations. Although webly supervised learning has been widely studied…
Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation
Zhijing Yang, Haocheng Lin, Zhihua Xu +4
Generating realistic interior furniture layouts that strictly adhere to architectural constraints (e.g., walls, doors, and windows) remains a fundamental challenge in automated spa…
Learning Semantic-Aware Threshold for Multi-Label Image Recognition with Partial Labels
Haoxian Ruan, Zhihua Xu, Zhijing Yang +4
Multi-label image recognition with partial labels (MLR-PL) is designed to train models using a mix of known and unknown labels. Traditional methods rely on semantic or feature corr…
Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulation
Tianshui Chen, Jianman Lin, Zhijing Yang +3
Speech-preserving facial expression manipulation (SPFEM) aims to modify a talking head to display a specific reference emotion while preserving the mouth animation of source spoken…
Analysis and Benchmarking of Extending Blind Face Image Restoration to Videos
Zhouxia Wang, Jiawei Zhang, Xintao Wang +4
Recent progress in blind face restoration has resulted in producing high-quality restored results for static images. However, efforts to extend these advancements to video scenario…