activity
20182022
most citedLearning Bodily and Temporal Attention in Protective Movement Behavior Detection

6 citations · 15 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV20225 cited

Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering

Min Peng, Chongyang Wang, Yuan Gao +2

Video question answering (VideoQA) is challenging given its multimodal combination of visual understanding and natural language processing. While most existing approaches ignore th…

cs.CV2020

Recognizing Micro-Expression in Video Clip with Adaptive Key-Frame Mining

Min Peng, Chongyang Wang, Yuan Gao +4

As a spontaneous expression of emotion on face, micro-expression reveals the underlying emotion that cannot be controlled by human. In micro-expression, facial movement is transien…

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.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.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…