research
∙
07/12/2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
Generating unlabeled data has been recently shown to help address the fe...
share
research
∙
04/30/2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Adversarial contrastive learning (ACL), without requiring labels, incorp...
research
∙
10/04/2022
A Perceptual Quality Metric for Video Frame Interpolation
Research on video frame interpolation has made significant progress in r...
research
∙
07/20/2022
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Although significant advances have been made in face recognition (FR), F...
research
∙
01/09/2022
The State of Aerial Surveillance: A Survey
The rapid emergence of airborne platforms and imaging sensors are enabli...
research
∙
10/22/2020
Maximum Mean Discrepancy is Aware of Adversarial Attacks
The maximum mean discrepancy (MMD) test, as a representative two-sample ...
research
∙
10/01/2020
Learned Dual-View Reflection Removal
Traditional reflection removal algorithms either use a single image as i...
research
∙
10/03/2019
On the Detection of Digital Face Manipulation
Detecting manipulated facial images and videos is an increasingly import...
research
∙
08/14/2019
MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences
Chinese meme-face is a special kind of internet subculture widely spread...
research
∙
07/19/2019
Open Set Domain Adaptation: Theoretical Bound and Algorithm
Unsupervised domain adaptation for classification tasks has achieved gre...
research
∙
09/29/2017
Intelligence Quotient and Intelligence Grade of Artificial Intelligence
Although artificial intelligence is currently one of the most interestin...
research
∙
01/10/2017
Heterogeneous Unsupervised Cross-domain Transfer Learning
Transfer learning addresses the problem of how to leverage previously ac...
research
∙
12/03/2015
