activity
20232025
most citedSpatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detection

5 citations · 8 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG20251 cited

Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification

Wennuo Yang, Shiling Wu, Yuzhi Zhou +5

Multivariate Time Series Classification (MTSC) enables the analysis if complex temporal data, and thus serves as a cornerstone in various real-world applications, ranging from heal…

cs.CV2024

DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis

Kaijun Deng, Dezhi Zheng, Jindong Xie +4

Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existi…

cs.CV2024

BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing

Yingjie Ma, Zitong Yu, Xun Lin +2

In the domain of facial recognition security, multimodal Face Anti-Spoofing (FAS) is essential for countering presentation attacks. However, existing technologies encounter challen…

cs.CV20241 cited

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model

Yuhao Wang, Chao Hao, Yawen Cui +4

The vision-language modeling capability of multi-modal large language models has attracted wide attention from the community. However, in medical domain, radiology report generatio…

cs.CV2024

Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition

Zihan Wang, Siyang Song, Cheng Luo +3

Human facial action units (AUs) are mutually related in a hierarchical manner, as not only they are associated with each other in both spatial and temporal domains but also AUs loc…

cs.CV20241 cited

Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping

Qinliang Lin, Cheng Luo, Zenghao Niu +5

Adversarial examples generated by a surrogate model typically exhibit limited transferability to unknown target systems. To address this problem, many transferability enhancement a…