3 citations · 8 across the 9 of their papers we have counts for
9 papers
Detecting Fake News Belief via Skin and Blood Flow Signals
Gennie Nguyen, Lei Wang, Yangxueqing Jiang +1
Misinformation poses significant risks to public opinion, health, and security. While most fake news detection methods rely on text analysis, little is known about how people physi…
Truth and Trust: Fake News Detection via Biosignals
Gennie Nguyen, Lei Wang, Yangxueqing Jiang +1
Understanding how individuals physiologically respond to false information is crucial for advancing misinformation detection systems. This study explores the potential of using phy…
When Spatial meets Temporal in Action Recognition
Huilin Chen, Lei Wang, Yifan Chen +2
Video action recognition has made significant strides, but challenges remain in effectively using both spatial and temporal information. While existing methods often focus on eithe…
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Dexuan Ding, Lei Wang, Liyun Zhu +2
In computer vision tasks, features often come from diverse representations, domains (e.g., indoor and outdoor), and modalities (e.g., text, images, and videos). Effectively fusing…
TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps
Arjun Raj, Lei Wang, Tom Gedeon
Accurately detecting and tracking high-speed, small objects, such as balls in sports videos, is challenging due to factors like motion blur and occlusion. Although recent deep lear…
Motion meets Attention: Video Motion Prompts
Qixiang Chen, Lei Wang, Piotr Koniusz +1
Videos contain rich spatio-temporal information. Traditional methods for extracting motion, used in tasks such as action recognition, often rely on visual contents rather than prec…
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Lei Wang, Jun Liu, Liang Zheng +2
Video sequences exhibit significant nuisance variations (undesired effects) of speed of actions, temporal locations, and subjects' poses, leading to temporal-viewpoint misalignment…
Taylor Videos for Action Recognition
Lei Wang, Xiuyuan Yuan, Tom Gedeon +1
Effectively extracting motions from video is a critical and long-standing problem for action recognition. This problem is very challenging because motions (i) do not have an explic…
Adaptive Multi-head Contrastive Learning
Lei Wang, Piotr Koniusz, Tom Gedeon +1
In contrastive learning, two views of an original image, generated by different augmentations, are considered a positive pair, and their similarity is required to be high. Similarl…