On Evaluating Sport Event Recognition using Bag-of-Words Model. - Phong Dinh Vo; Tran Ngoc Trung; Le Hoai Bac (RIVF, 2009)

Improved HOG Descriptors. - Linh Dang; Buu Bui; Phong Dinh Vo; Trung Ngoc Tran; Bac Hoai Le (KSE, 2011)

Multi-scale Sparse Representation for Robust Face Recognition. - Mao X. Nguyen; Quang M. Le; Vu Pham; Trung Ngoc Tran; Bac Hoai Le (KSE, 2011)

IRIM at TRECVID 2012 : Semantic Indexing and Instance Search. - Nicolas Ballas; Benjamin Labbé; Aymen Shabou; Hervé Le Borgne; Philippe Gosselin; Miriam Redi; Bernard Mérialdo; Hervé Jégou; Jonathan Delhumeau; Rémi Vieux; Boris Mansencal; Jenny Benois-Pineau; et al. (TRECVID, 2012)

Combining Descriptors Extracted from Feature Maps of Deconvolutional Networks and SIFT Descriptors in Scene Image Classification. - Dung A. Doan; Ngoc-Trung Tran; Dinh-Phong Vo; Bac Le; Atsuo Yoshitaka (ICCSA (5), 2013)

3D Face Pose and Animation Tracking via Eigen-Decomposition Based Bayesian Approach. - Ngoc-Trung Tran; Fakhr-Eddine Ababsa; Maurice Charbit; Jacques Feldmar; Dijana Petrovska-Delacrétaz; Gérard Chollet (ISVC (1), 2013)

Learned and designed features for sparse coding in image classification. - Dung A. Doan; Ngoc-Trung Tran; Dinh-Phong Vo; Bac Le (RIVF, 2013)

3D Face Pose Tracking from Monocular Camera via Sparse Representation of Synthesized Faces. - Ngoc-Trung Tran; Jacques Feldmar; Maurice Charbit; Dijana Petrovska-Delacrétaz; Gérard Chollet (VISAPP (2), 2013)

Cascaded Regressions of Learning Features for Face Alignment. - Ngoc-Trung Tran; Fakhreddine Ababsa; Sarra Ben Fredj; Maurice Charbit (ACIVS, 2015)

U3PT: A New Dataset for Unconstrained 3D Pose Tracking Evaluation. - Ngoc-Trung Tran; Fakhreddine Ababsa; Maurice Charbit (CAIP (1), 2015)

Towards Pose-free Tracking of Non-rigid Face using Synthetic Data. - Ngoc-Trung Tran; Fakhreddine Ababsa; Maurice Charbit (ICPRAM (2), 2015)

A Non-rigid Face Tracking Method for Wide Rotation Using Synthetic Data. - Ngoc-Trung Tran; Fakhreddine Ababsa; Maurice Charbit (ICPRAM (Selected Papers), 2015)

A robust framework for tracking simultaneously rigid and non-rigid face using synthesized data. - Ngoc-Trung Tran; Fakhreddine Ababsa; Maurice Charbit (Pattern Recognit. Lett., 2015)

Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set. - Fakhreddine Ababsa; Ngoc-Trung Tran; Maurice Charbit (IV, 2017)

Dist-GAN: An Improved GAN Using Distance Constraints. - Ngoc-Trung Tran; Tuan-Anh Bui; Ngai-Man Cheung (ECCV (14), 2018)

DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. - Swee Kiat Lim; Yi Loo; Ngoc-Trung Tran; Ngai-Man Cheung; Gemma Roig; Yuval Elovici (ICDM, 2018)

On-device Scalable Image-based Localization. - Ngoc-Trung Tran; Dang-Khoa Le Tan; Anh-Dzung Doan; Thanh-Toan Do; Tuan-Anh Bui; Ngai-Man Cheung (CoRR, 2018)

Generative Adversarial Autoencoder Networks. - Ngoc-Trung Tran; Tuan-Anh Bui; Ngai-Man Cheung (CoRR, 2018)

Improving GAN with Neighbors Embedding and Gradient Matching. - Ngoc-Trung Tran; Tuan-Anh Bui; Ngai-Man Cheung (AAAI, 2019)

Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. - Ngoc-Trung Tran; Viet-Hung Tran; Ngoc-Bao Nguyen; Linxiao Yang; Ngai-Man Cheung (NeurIPS, 2019)

An Improved Self-supervised GAN via Adversarial Training. - Ngoc-Trung Tran; Viet-Hung Tran; Ngoc-Bao Nguyen; Ngai-Man Cheung (CoRR, 2019)

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; Thanh-Toan Do; Tuan-Anh Bui; Mengxuan Tan; Ngai-Man Cheung (IEEE Trans. Image Process., 2019)

Towards Good Practices for Data Augmentation in GAN Training. - Ngoc-Trung Tran; Viet-Hung Tran; Ngoc-Bao Nguyen; Trung-Kien Nguyen; Ngai-Man Cheung (CoRR, 2020)

A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection. - Keshigeyan Chandrasegaran; Ngoc-Trung Tran; Ngai-Man Cheung (CVPR, 2021)

InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning. - Kwot Sin Lee; Ngoc-Trung Tran; Ngai-Man Cheung (WACV, 2021)

On Data Augmentation for GAN Training. - Ngoc-Trung Tran; Viet-Hung Tran; Ngoc-Bao Nguyen; Trung-Kien Nguyen; Ngai-Man Cheung (IEEE Trans. Image Process., 2021)

Discovering Transferable Forensic Features for CNN-Generated Images Detection. - Keshigeyan Chandrasegaran; Ngoc-Trung Tran; Alexander Binder; Ngai-Man Cheung (ECCV (15), 2022)

Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? - Keshigeyan Chandrasegaran; Ngoc-Trung Tran; Yunqing Zhao; Ngai-Man Cheung (ICML, 2022)