Conformal Surface Alignment with Optimal Möbius Search. - Huu Le; Tat-Jun Chin; David Suter (CVPR, 2016)

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

RATSAC - Random Tree Sampling for Maximum Consensus Estimation. - Huu Le; Tat-Jun Chin; David Suter (DICTA, 2017)

Deterministic Approximate Methods for Maximum Consensus Robust Fitting. - Huu Le; Tat-Jun Chin; Anders P. Eriksson; David Suter (CoRR, 2017)

A Binary Optimization Approach for Constrained K-Means Clustering. - Huu M. Le; Anders P. Eriksson; Thanh-Toan Do; Michael Milford (ACCV (4), 2018)

Non-smooth M-estimator for Maximum Consensus Estimation. - Huu Le; Anders P. Eriksson; Thanh-Toan Do; Tat-Jun Chin; David Suter (BMVC, 2018)

DeepVQ: A Deep Network Architecture for Vector Quantization. - Dang-Khoa Le Tan; Huu Le; Tuan Hoang; Thanh-Toan Do; Ngai-Man Cheung (CVPR Workshops, 2018)

A Fast Resection-Intersection Method for the Known Rotation Problem. - Qianggong Zhang; Tat-Jun Chin; Huu M. Le (CVPR, 2018)

Deterministic Consensus Maximization with Biconvex Programming. - Zhipeng Cai 003; Tat-Jun Chin; Huu Le; David Suter (ECCV (12), 2018)

Large scale visual place recognition with sub-linear storage growth. - Huu Le; Michael Milford (CoRR, 2018)

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

Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. - Huu Le; Ming Xu 015; Tuan Hoang; Michael Milford (ICCV, 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 001 (WACV, 2019)

SASSE: Scalable and Adaptable 6-DOF Pose Estimation. - Huu Le; Tuan Hoang; Qianggong Zhang; Thanh-Toan Do; Anders P. Eriksson; Michael Milford (CoRR, 2019)

BTEL: A Binary Tree Encoding Approach for Visual Localization. - Huu Le; Tuan Hoang; Michael J. Milford (IEEE Robotics Autom. Lett., 2019)

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. - Thanh-Toan Do; Khoa Le; Tuan Hoang; Huu Le; Tam V. Nguyen 002; Ngai-Man Cheung (IEEE Trans. Image Process., 2019)

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. - Thanh-Toan Do; Tuan Hoang; Dang-Khoa Le Tan; Huu Le; Tam V. Nguyen 002; Ngai-Man Cheung (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Progressive Batching for Efficient Non-linear Least Squares. - Huu Le; Christopher Zach; Edward Rosten; Oliver J. Woodford (ACCV (3), 2020)

A Graduated Filter Method for Large Scale Robust Estimation. - Huu Le; Christopher Zach (CVPR, 2020)

Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning. - Christopher Zach; Huu Le (ECCV (26), 2020)

Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. - Tuan Hoang; Thanh-Toan Do; Huu Le; Dang-Khoa Le Tan; Ngai-Man Cheung (Comput. Vis. Image Underst., 2020)

Robust Fitting with Truncated Least Squares: A Bilevel Optimization Approach. - Huu Le; Christopher Zach (3DV, 2021)

DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking. - Kha Gia Quach; Pha A. 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 (CVPR, 2021)

Escaping Poor Local Minima in Large Scale Robust Estimation. - Huu Le; Christopher Zach (CoRR, 2021)

Deterministic Approximate Methods for Maximum Consensus Robust Fitting. - Huu Le; Tat-Jun Chin; Anders P. Eriksson; Thanh-Toan Do; David Suter (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

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

Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration. - Giang Truong; Huu Le; Álvaro Parra 001; Syed Zulqarnain Gilani; Syed M. S. Islam; David Suter (CoRR, 2022)

Depth Perspective-aware Multiple Object Tracking. - Kha Gia Quach; Huu Le; Pha A. Nguyen; Chi Nhan Duong; Tien Dai Bui; Khoa Luu (CoRR, 2022)

Exploiting Redundancy for Large Scale Bundle Adjustment: In Partial Defense of Minimization by Alternation. - Christopher Zach; Huu Le (SCIA (2), 2023)

Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach. - Giang Truong; Huu Le; Erchuan Zhang; David Suter; Syed Zulqarnain Gilani (IEEE Trans. Pattern Anal. Mach. Intell., 2023)