research
∙
12/06/2022
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling
Autonomous cars are indispensable when humans go further down the hands-...
share
research
∙
11/30/2021
Deep Auto-encoder with Neural Response
Artificial intelligence and neuroscience are deeply interactive. Artific...
research
∙
10/08/2021
How Can AI Recognize Pain and Express Empathy
Sensory and emotional experiences such as pain and empathy are relevant ...
research
∙
05/25/2021
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Convolutional neural networks (CNNs) are highly successful for super-res...
research
∙
04/19/2021
Contrastive Learning for Compact Single Image Dehazing
Single image dehazing is a challenging ill-posed problem due to the seve...
research
∙
02/05/2021
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review
Machine learning is playing an increasing important role in medical imag...
research
∙
09/05/2019
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective
Selective attention plays an essential role in information acquisition a...
research
∙
06/13/2019
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning
We model human decision-making behaviors in a risk-taking task using inv...
research
∙
10/15/2018
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
The efficient integration of multisensory observations is a key property...
research
∙
02/28/2018