activity
20182022
most citedMIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition

14 citations · 20 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20224 cited

Multiple Emotion Descriptors Estimation at the ABAW3 Challenge

Didan Deng

To describe complex emotional states, psychologists have proposed multiple emotion descriptors: sparse descriptors like facial action units; continuous descriptors like valence and…

cs.CV20212 cited

Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition

Didan Deng, Liang Wu, Bertram E. Shi

When recognizing emotions, subtle nuances in displays of emotion generate ambiguity or uncertainty in emotion perception. Emotion uncertainty has been previously interpreted as int…

cs.CV2020

Multitask Emotion Recognition with Incomplete Labels

Didan Deng, Zhaokang Chen, Bertram E. Shi

We train a unified model to perform three tasks: facial action unit detection, expression classification, and valence-arousal estimation. We address two main challenges of learning…

cs.CV201914 cited

MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition

Didan Deng, Zhaokang Chen, Yuqian Zhou +1

Spatial-temporal feature learning is of vital importance for video emotion recognition. Previous deep network structures often focused on macro-motion which extends over long time…

eess.IV2018

Multimodal Utterance-level Affect Analysis using Visual, Audio and Text Features

Didan Deng, Yuqian Zhou, Jimin Pi +1

The integration of information across multiple modalities and across time is a promising way to enhance the emotion recognition performance of affective systems. Much previous work…