15 citations · 41 across the 6 of their papers we have counts for
6 papers
Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer
Min Peng, Chongyang Wang, Yu Shi +1
This paper presents a new method for end-to-end Video Question Answering (VideoQA), aside from the current popularity of using large-scale pre-training with huge feature extractors…
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…
Temporal Pyramid Transformer with Multimodal Interaction 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 understanding. While existing approaches seldom leve…
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…
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…
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…