research
∙
03/29/2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
It is critical that the models pay attention not only to accuracy but al...
share
research
∙
03/29/2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
It is broadly known that deep neural networks are susceptible to being f...
research
∙
10/07/2022
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification
In unsupervised person Re-ID, peer-teaching strategy leveraging two netw...
research
∙
07/19/2021
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Existing popular unsupervised embedding learning methods focus on enhanc...
research
∙
08/11/2020
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection
Recent deep learning based video synthesis approaches, in particular wit...
research
∙
06/13/2020