304 citations · 681 across the 9 of their papers we have counts for
12 papers · 1 filter
Fake-in-Facext: Towards Fine-Grained Explainable DeepFake Analysis
Lixiong Qin, Yang Zhang, Mei Wang +3
The advancement of Multimodal Large Language Models (MLLMs) has bridged the gap between vision and language tasks, enabling the implementation of Explainable DeepFake Analysis (XDF…
Towards Interactive Deepfake Analysis
Lixiong Qin, Ning Jiang, Yang Zhang +4
Existing deepfake analysis methods are primarily based on discriminative models, which significantly limit their application scenarios. This paper aims to explore interactive deepf…
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…
Generalizable Facial Expression Recognition
Yuhang Zhang, Xiuqi Zheng, Chenyi Liang +2
SOTA facial expression recognition (FER) methods fail on test sets that have domain gaps with the train set. Recent domain adaptation FER methods need to acquire labeled or unlabel…
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…