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08/09/2023
Evaluating the Generation Capabilities of Large Chinese Language Models
This paper presents CG-Eval, the first comprehensive evaluation of the g...
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07/08/2023
Face Image Quality Enhancement Study for Face Recognition
Unconstrained face recognition is an active research area among computer...
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07/06/2023
Facial Landmark Detection Evaluation on MOBIO Database
MOBIO is a bi-modal database that was captured almost exclusively on mob...
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07/05/2023
A Study on the Impact of Face Image Quality on Face Recognition in the Wild
Deep learning has received increasing interests in face recognition rece...
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05/24/2023
A Game-Theoretic Framework for AI Governance
As a transformative general-purpose technology, AI has empowered various...
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04/20/2023
Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis
How can we teach a computer to recognize 10,000 different actions? Deep ...
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02/18/2023
MorphGANFormer: Transformer-based Face Morphing and De-Morphing
Semantic face image manipulation has received increasing attention in re...
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11/04/2022
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation
Achieving accurate and automated tumor segmentation plays an important r...
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10/27/2022
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
The vulnerability of face recognition systems to morphing attacks has po...
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06/05/2022
Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning
Rapid identification of newly emerging or circulating viruses is an impo...
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03/09/2021
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
Off-policy evaluation (OPE) is the task of estimating the expected rewar...
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11/20/2020
Certified Monotonic Neural Networks
Learning monotonic models with respect to a subset of the inputs is a de...
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10/29/2020
Off-Policy Interval Estimation with Lipschitz Value Iteration
Off-policy evaluation provides an essential tool for evaluating the effe...
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04/06/2020
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
Obtaining accurate information about future traffic flows of all links i...
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04/14/2019
