3 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration
Tianshui Chen, Weihang Wang, Tao Pu +4
Modern visual recognition models often display overconfidence due to their reliance on complex deep neural networks and one-hot target supervision, resulting in unreliable confiden…
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
Yuefang Gao, Yuhao Xie, Zeke Zexi Hu +2
Domain shift poses a significant challenge in Cross-Domain Facial Expression Recognition (CD-FER) due to the distribution variation across different domains. Current works mainly f…
Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search
Hefeng Wu, Weifeng Chen, Zhibin Liu +3
Given a descriptive text query, text-based person search (TBPS) aims to retrieve the best-matched target person from an image gallery. Such a cross-modal retrieval task is quite ch…
RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs
Zhouxia Wang, Jiawei Zhang, Tianshui Chen +2
Blind face restoration aims at recovering high-quality face images from those with unknown degradations. Current algorithms mainly introduce priors to complement high-quality detai…
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
Zhenghua Peng, Yu Luo, Tianshui Chen +2
Deep sequence recognition (DSR) models receive increasing attention due to their superior application to various applications. Most DSR models use merely the target sequences as su…
Open-World Pose Transfer via Sequential Test-Time Adaption
Junyang Chen, Xiaoyu Xian, Zhijing Yang +5
Pose transfer aims to transfer a given person into a specified posture, has recently attracted considerable attention. A typical pose transfer framework usually employs representat…