Search Results for author: Ngoc-Trung Tran

Found 13 papers, 8 papers with code

Discovering Transferable Forensic Features for CNN-generated Images Detection

1 code implementation24 Aug 2022 Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung

Visual counterfeits are increasingly causing an existential conundrum in mainstream media with rapid evolution in neural image synthesis methods.

Image Forensics Image Generation

Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?

1 code implementation29 Jun 2022 Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung

Critically, there is no effort to understand and resolve these contradictory findings, leaving the primal question -- to smooth or not to smooth a teacher network?

Image Classification Knowledge Distillation +1

To Smooth or not to Smooth? On Compatibility between Label Smoothing and Knowledge Distillation

no code implementations29 Sep 2021 Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung

On the contrary, Shen et al. [2] claim that LS enlarges the distance between semantically similar classes; therefore a LS-trained teacher is compatible with KD.

Image Classification Knowledge Distillation +1

InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning

1 code implementation9 Jul 2020 Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung

While Generative Adversarial Networks (GANs) are fundamental to many generative modelling applications, they suffer from numerous issues.

Contrastive Learning Image Generation

On Data Augmentation for GAN Training

1 code implementation9 Jun 2020 Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Trung-Kien Nguyen, Ngai-Man Cheung

We provide theoretical analysis to show that using our proposed DAG aligns with the original GAN in minimizing the Jensen-Shannon (JS) divergence between the original distribution and model distribution.

Data Augmentation

An Improved Self-supervised GAN via Adversarial Training

no code implementations14 May 2019 Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Ngai-Man Cheung

Importantly, we find out that simultaneously training the discriminator to classify the fake class from the pseudo-classes of real samples for the classification task will improve the discriminator and subsequently lead better guides to train generator.

Classification General Classification +1

Improving GAN with neighbors embedding and gradient matching

1 code implementation4 Nov 2018 Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung

Second, we propose a new technique, gradient matching, to align the distributions of the generated samples and the real samples.

DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN

no code implementations23 Aug 2018 Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici

To the best of our knowledge, our method is the first data augmentation technique focused on improving performance in unsupervised anomaly detection.

Data Augmentation Generative Adversarial Network +1

On-device Scalable Image-based Localization via Prioritized Cascade Search and Fast One-Many RANSAC

no code implementations10 Feb 2018 Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Mengxuan Tan, Ngai-Man Cheung

In order to overcome the resource constraints of mobile devices, we propose a system design that leverages the scalability advantage of image retrieval and accuracy of 3D model-based localization.

Image-Based Localization Image Retrieval +2

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