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09/29/2022
Reducing Stress and Anxiety in the Metaverse: A Systematic Review of Meditation, Mindfulness and Virtual Reality
Meditation, or mindfulness, is widely used to improve mental health. Wit...
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01/27/2021
Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders
We present a model of the self-calibration of active binocular vision co...
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01/14/2021
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention
Pedestrian trajectory prediction is a critical yet challenging task, esp...
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09/15/2020
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction
Accurate pedestrian trajectory prediction is of great importance for dow...
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02/10/2020
Multitask Emotion Recognition with Incomplete Labels
We train a unified model to perform three tasks: facial action unit dete...
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02/10/2020
FAU, Facial Expressions, Valence and Arousal: A Multi-task Solution
In the paper, we aim to train a unified model that performs three tasks:...
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01/25/2020
GEDDnet: A Network for Gaze Estimation with Dilation and Decomposition
Appearance-based gaze estimation from RGB images provides relatively unc...
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09/23/2019
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
Safe and efficient crowd navigation for mobile robot is a crucial yet ch...
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05/11/2019
Appearance-Based Gaze Estimation via Gaze Decomposition and Single Gaze Point Calibration
Appearance-based gaze estimation provides relatively unconstrained gaze ...
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04/17/2019
Gaze Training by Modulated Dropout Improves Imitation Learning
Imitation learning by behavioral cloning is a prevalent method which has...
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03/18/2019
Appearance-Based Gaze Estimation Using Dilated-Convolutions
Appearance-based gaze estimation has attracted more and more attention b...
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12/25/2018
Coupled Recurrent Network (CRN)
Many semantic video analysis tasks can benefit from multiple, heterogeno...
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05/02/2018
Multimodal Utterance-level Affect Analysis using Visual, Audio and Text Features
Affective computing models are essential for human behavior analysis. A ...
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08/13/2017
Lattice Long Short-Term Memory for Human Action Recognition
Human actions captured in video sequences are three-dimensional signals ...
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06/21/2016
An active efficient coding model of the optokinetic nystagmus
Optokinetic nystagmus (OKN) is an involuntary eye movement responsible f...
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04/15/2016
