34 citations · 37 across the 4 of their papers we have counts for
5 papers
Global-Local Regularization Via Distributional Robustness
Hoang Phan, Trung Le, Trung Phung +3
Despite superior performance in many situations, deep neural networks are often vulnerable to adversarial examples and distribution shifts, limiting model generalization ability in…
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness
Anh Bui, Trung Le, He Zhao +4
Ensemble-based adversarial training is a principled approach to achieve robustness against adversarial attacks. An important technique of this approach is to control the transferab…
Improving GAN with neighbors embedding and gradient matching
Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung
We propose two new techniques for training Generative Adversarial Networks (GANs). Our objectives are to alleviate mode collapse in GAN and improve the quality of the generated sam…
Dist-GAN: An Improved GAN using Distance Constraints
Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung
We introduce effective training algorithms for Generative Adversarial Networks (GAN) to alleviate mode collapse and gradient vanishing. In our system, we constrain the generator by…
On-device Scalable Image-based Localization via Prioritized Cascade Search and Fast One-Many RANSAC
Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan +4
We present the design of an entire on-device system for large-scale urban localization using images. The proposed design integrates compact image retrieval and 2D-3D correspondence…