2 citations · 2 across the 6 of their papers we have counts for
6 papers
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition
Mei Wang, Weihong Deng, Jiani Hu +1
The study of oracle characters plays an important role in Chinese archaeology and philology. However, the difficulty of collecting and annotating real-world scanned oracle characte…
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis
Zijian Chen, Mei Wang, Weihong Deng +5
2D face recognition encounters challenges in unconstrained environments due to varying illumination, occlusion, and pose. Recent studies focus on RGB-D face recognition to improve…
Marginal Debiased Network for Fair Visual Recognition
Mei Wang, Weihong Deng, Jiani Hu +1
Deep neural networks (DNNs) are often prone to learn the spurious correlations between target classes and bias attributes, like gender and race, inherent in a major portion of trai…
Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton Sequence
Ruizhuo Xu, Linzhi Huang, Mei Wang +2
Self-supervised pre-training paradigms have been extensively explored in the field of skeleton-based action recognition. In particular, methods based on masked prediction have push…
Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition
Ruizhuo Xu, Ke Wang, Chao Deng +5
With the increasing availability of consumer depth sensors, 3D face recognition (FR) has attracted more and more attention. However, the data acquired by these sensors are often co…
Oracle Character Recognition using Unsupervised Discriminative Consistency Network
Mei Wang, Weihong Deng, Sen Su
Ancient history relies on the study of ancient characters. However, real-world scanned oracle characters are difficult to collect and annotate, posing a major obstacle for oracle c…