1 code implementation • 24 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.
1 code implementation • 29 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?
no code implementations • 29 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.
1 code implementation • CVPR 2021 • Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung
Our results prompt re-thinking of using high frequency Fourier spectrum decay attributes for CNN-generated image detection.
1 code implementation • 9 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.
1 code implementation • 9 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.
1 code implementation • NeurIPS 2019 • Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
From the analysis, we identify issues of SS tasks which allow a severely mode-collapsed generator to excel the SS tasks.
Ranked #4 on Image Generation on ImageNet 32x32
no code implementations • 29 Aug 2019 • Ngoc-Trung Tran, Fakhr-Eddine Ababsa, Maurice Charbit, Jacques Feldmar, Dijana Petrovska-Delacrétaz, Gérard Chollet
This paper presents a new method to track both the face pose and the face animation with a monocular camera.
no code implementations • 14 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.
1 code implementation • 4 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.
no code implementations • 23 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.
1 code implementation • ECCV 2018 • Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung
We use this constraint to explicitly prevent the generator from mode collapse.
Ranked #18 on Image Generation on STL-10
no code implementations • 10 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.