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20182024
most citedDeep Visual Domain Adaptation: A Survey

2.2k citations · 3.4k across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

Faceptor: A Generalist Model for Face Perception

Lixiong Qin, Mei Wang, Xuannan Liu +5

With the comprehensive research conducted on various face analysis tasks, there is a growing interest among researchers to develop a unified approach to face perception. Existing m…

cs.CV2024

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…

cs.CV2024★ 2 cited

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…