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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Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 14 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…

cs.RO2019★ 8 cited

Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze

Yuying Chen, Congcong Liu, Ming Liu +1

Safe and efficient crowd navigation for mobile robot is a crucial yet challenging task. Previous work has shown the power of deep reinforcement learning frameworks to train efficie…

cs.CV2019

Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments

Congcong Liu, Yuying Chen, Lei Tai +2

Vision-based autonomous driving through imitation learning mimics the behaviors of human drivers by training on pairs of data of raw driver-view images and actions. However, there…

cs.CV2019★ 2 cited

Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition

Zhaokang Chen, Bertram E. Shi

Appearance-based gaze estimation provides relatively unconstrained gaze tracking. However, subject-independent models achieve limited accuracy partly due to individual variations.…

cs.CV2019

Gaze Training by Modulated Dropout Improves Imitation Learning

Yuying Chen, Congcong Liu, Lei Tai +2

Imitation learning by behavioral cloning is a prevalent method that has achieved some success in vision-based autonomous driving. The basic idea behind behavioral cloning is to hav…

cs.CV2019

Appearance-Based Gaze Estimation Using Dilated-Convolutions

Zhaokang Chen, Bertram E. Shi

Appearance-based gaze estimation has attracted more and more attention because of its wide range of applications. The use of deep convolutional neural networks has improved the acc…