Hoang, Tuan

9 publications

ICLR 2026 Universal Multi-Domain Translation via Diffusion Routers Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, Thin Nguyen

WACV 2024 Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh

WACV 2023 Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks Cuong Pham, Tuan Hoang, Thanh-Toan Do

IJCAI 2020 Direct Quantization for Training Highly Accurate Low Bit-Width Deep Neural Networks Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

CVPR 2019 A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro

WACV 2019 Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid

ICCV 2019 Hierarchical Encoding of Sequential Data with Compact and Sub-Linear Storage Cost Huu Le, Ming Xu, Tuan Hoang, Michael Milford

CVPR 2019 SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung

CVPRW 2018 DeepVQ: A Deep Network Architecture for Vector Quantization Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung