activity
20182020
most citedLearning Bodily and Temporal Attention in Protective Movement Behavior Detection

6 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2020

EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions

Joy O. Egede, Siyang Song, Temitayo A. Olugbade +7

The EmoPain 2020 Challenge is the first international competition aimed at creating a uniform platform for the comparison of machine learning and multimedia processing methods of a…

cs.LG20196 cited

Learning Bodily and Temporal Attention in Protective Movement Behavior Detection

Chongyang Wang, Min Peng, Temitayo A. Olugbade +3

For people with chronic pain, the assessment of protective behavior during physical functioning is essential to understand their subjective pain-related experiences (e.g., fear and…

cs.CV2019

A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition

Min Peng, Chongyang Wang, Tao Bi +3

The automatic recognition of micro-expression has been boosted ever since the successful introduction of deep learning approaches. As researchers working on such topics are moving…

cs.HC2019

Characterizing HCI Research in China: Streams, Methodologies and Future Directions

Tao Bi, Yiyi Zhang, Chongyang Wang +1

This position paper takes the first step to attempt to present the initial characterization of HCI research in China. We discuss the current streams and methodologies of Chinese HC…

cs.CV2018

Micro-Attention for Micro-Expression recognition

Chongyang Wang, Min Peng, Tao Bi +1

Micro-expression, for its high objectivity in emotion detection, has emerged to be a promising modality in affective computing. Recently, deep learning methods have been successful…