Le, Huu

9 publications

CVPR 2022 AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach

CVPR 2021 DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking Kha Gia Quach, Pha Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu

CVPR 2021 Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani

ECCV 2020 Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning Christopher Zach, Huu Le

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

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

ECCV 2018 Deterministic Consensus Maximization with Biconvex Programming Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter

CVPR 2017 An Exact Penalty Method for Locally Convergent Maximum Consensus Huu Le, Tat-Jun Chin, David Suter

CVPR 2016 Conformal Surface Alignment with Optimal Mobius Search Huu Le, Tat-Jun Chin, David Suter