291 citations · 504 across the 9 of their papers we have counts for
3 papers · 1 filter
Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition
Shangfei Wang, Yanan Chang, Guozhu Peng +1
Current works formulate facial action unit (AU) recognition as a supervised learning problem, requiring fully AU-labeled facial images during training. It is challenging if not imp…
IA-RED: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan, Rameswar Panda, Yifan Jiang +3
The self-attention-based model, transformer, is recently becoming the leading backbone in the field of computer vision. In spite of the impressive success made by transformers in a…
VA-RED: Video Adaptive Redundancy Reduction
Bowen Pan, Rameswar Panda, Camilo Fosco +6
Performing inference on deep learning models for videos remains a challenge due to the large amount of computational resources required to achieve robust recognition. An inherent p…