activity
20162023
most citedChronic-Pain Protective Behavior Detection with Deep Learning

16 citations · 75 across the 12 of their papers we have counts for

collaborators

12 papers

cs.HC2023★ 1 cited

UbiPhysio: Support Daily Functioning, Fitness, and Rehabilitation with Action Understanding and Feedback in Natural Language

Chongyang Wang, Yuan Feng, Lingxiao Zhong +8

We introduce UbiPhysio, a milestone framework that delivers fine-grained action description and feedback in natural language to support people's daily functioning, fitness, and reh…

cs.CV2022★ 5 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.LG2021

Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth

Chongyang Wang, Yuan Gao, Chenyou Fan +4

The annotation of domain experts is important for some medical applications where the objective ground truth is ambiguous to define, e.g., the rehabilitation for some chronic disea…

cs.LG2020★ 4 cited

Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data

Chongyang Wang, Yuan Gao, Akhil Mathur +3

Protective behavior exhibited by people with chronic pain (CP) during physical activities is the key to understanding their physical and emotional states. Existing automatic protec…

cs.CV2020★ 8 cited

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…