activity
20142023
most citedHuman Action Recognition using Factorized Spatio-Temporal Convolutional Networks

112 citations · 310 across the 26 of their papers we have counts for

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22 papers · 1 filter

cs.CV2023

Integrating Holistic and Local Information to Estimate Emotional Reaction Intensity

Yini Fang, Liang Wu, Frederic Jumelle +1

Video-based Emotional Reaction Intensity (ERI) estimation measures the intensity of subjects' reactions to stimuli along several emotional dimensions from videos of the subject as…

cs.CV2023

RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid

Yini Fang, Didan Deng, Liang Wu +2

Micro-expressions (MEs) are involuntary and subtle facial expressions that are thought to reveal feelings people are trying to hide. ME spotting detects the temporal intervals cont…

cs.CV2021★ 2 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.CV2021★ 1 cited

Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding

Zhetuo Zhao, Jochen Triesch, Bertram E. Shi

The active efficient coding (AEC) framework parsimoniously explains the joint development of visual processing and eye movements, e.g., the emergence of binocular disparity selecti…

cs.CV2021★ 1 cited

Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders

Charles Wilmot, Bertram E. Shi, Jochen Triesch

We present a model of the self-calibration of active binocular vision comprising the simultaneous learning of visual representations, vergence, and pursuit eye movements. The model…

cs.CV2021★ 3 cited

AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention

Congcong Liu, Yuying Chen, Ming Liu +1

Pedestrian trajectory prediction is a critical yet challenging task, especially for crowded scenes. We suggest that introducing an attention mechanism to infer the importance of di…