22 citations · 38 across the 3 of their papers we have counts for
8 papers
Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels
Xiaotian Li, Xiang Zhang, Taoyue Wang +1
Recent studies on the automatic detection of facial action unit (AU) have extensively relied on large-sized annotations. However, manually AU labeling is difficult, time-consuming,…
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis
Xiaotian Li, Xiang Zhang, Huiyuan Yang +3
Emotion is an experience associated with a particular pattern of physiological activity along with different physiological, behavioral and cognitive changes. One behavioral change…
Your "Attention" Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis
Xiaotian Li, Zhihua Li, Huiyuan Yang +2
Visual attention has been extensively studied for learning fine-grained features in both facial expression recognition (FER) and Action Unit (AU) detection. A broad range of previo…
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li +2
Fully-supervised CNN-based approaches for learning local image descriptors have shown remarkable results in a wide range of geometric tasks. However, most of them require per-pixel…
Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate
Ran Yi, Yang Zhou, Xin Wang +3
Vehicle trajectory optimization is essential to ensure vehicles travel efficiently and safely. This paper presents an infrastructure assisted constrained connected automated vehicl…
Can You Trust Your Pose? Confidence Estimation in Visual Localization
Luca Ferranti, Xiaotian Li, Jani Boutellier +1
Camera pose estimation in large-scale environments is still an open question and, despite recent promising results, it may still fail in some situations. The research so far has fo…