79 citations · 84 across the 5 of their papers we have counts for
7 papers
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…
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition
Guang Liang, Shangfei Wang, Can Wang
Current facial expression recognition methods fail to simultaneously cope with pose and subject variations. In this paper, we propose a novel unsupervised adversarial domain adapta…
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking
Shi Yin, Shangfei Wang, Xiaoping Chen +1
Although heatmap regression is considered a state-of-the-art method to locate facial landmarks, it suffers from huge spatial complexity and is prone to quantization error. To addre…
Multiple Face Analyses through Adversarial Learning
Shangfei Wang, Shi Yin, Longfei Hao +1
This inherent relations among multiple face analysis tasks, such as landmark detection, head pose estimation, gender recognition and face attribute estimation are crucial to boost…
Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey
Sicheng Zhao, Shangfei Wang, Mohammad Soleymani +2
The wide popularity of digital photography and social networks has generated a rapidly growing volume of multimedia data (i.e., image, music, and video), resulting in a great deman…
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
Shi Yin, Yi Zhou, Chenguang Li +4
We propose KDSL, a new word sense disambiguation (WSD) framework that utilizes knowledge to automatically generate sense-labeled data for supervised learning. First, from WordNet,…