Huu Le

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 39

Top Topics

Outlier Removal

Multiple Object Tracking

Unsupervised Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Giang Truong, Huu Le, Erchuan Zhang, David Suter, Syed Zulqarnain Gilani
Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Christopher Zach, Huu Le
Exploiting Redundancy for Large Scale Bundle Adjustment: In Partial Defense of Minimization by Alternation. SCIA (2) (2023)
Giang Truong, Huu Le, Álvaro Parra, Syed Zulqarnain Gilani, Syed M. S. Islam, David Suter
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration. CoRR (2022)
Kha Gia Quach, Huu Le, Pha Nguyen, Chi Nhan Duong, Tien Dai Bui, Khoa Luu
Depth Perspective-aware Multiple Object Tracking. CoRR (2022)
Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks. CVPR (2022)
Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks. CoRR (2021)
Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Huu Le, Christopher Zach
Robust Fitting with Truncated Least Squares: A Bilevel Optimization Approach. 3DV (2021)
Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach. CVPR (2021)
Kha Gia Quach, Pha Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu
DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking. CVPR (2021)
Huu Le, Christopher Zach
Escaping Poor Local Minima in Large Scale Robust Estimation. CoRR (2021)
Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach. CoRR (2021)
Kha Gia Quach, Pha Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking. CoRR (2021)
Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. Comput. Vis. Image Underst. 191 (2020)
Huu Le, Christopher Zach
A Graduated Filter Method for Large Scale Robust Estimation. CoRR (2020)
Huu Le, Christopher Zach
A Graduated Filter Method for Large Scale Robust Estimation. CVPR (2020)
Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford
Progressive Batching for Efficient Non-linear Least Squares. ACCV (3) (2020)
Christopher Zach, Huu Le
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning. CoRR (2020)
Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford
Progressive Batching for Efficient Non-linear Least Squares. CoRR (2020)
Christopher Zach, Huu Le
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning. ECCV (26) (2020)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. WACV (2019)
Huu Le, Tuan Hoang, Michael J. Milford
BTEL: A Binary Tree Encoding Approach for Visual Localization. IEEE Robotics Autom. Lett. 4 (4) (2019)
Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. CoRR (2019)
Huu Le, Ming Xu, Tuan Hoang, Michael Milford
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. ICCV (2019)
Huu Le, Tuan Hoang, Michael Milford
BTEL: A Binary Tree Encoding Approach for Visual Localization. CoRR (2019)
Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford
SASSE: Scalable and Adaptable 6-DOF Pose Estimation. CoRR (2019)
Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CoRR (2019)
Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. IEEE Trans. Image Process. 28 (10) (2019)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15 (2) (2019)
Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter
Non-smooth M-estimator for Maximum Consensus Estimation. BMVC (2018)
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
Deterministic Consensus Maximization with Biconvex Programming. ECCV (12) (2018)
Huu Le, Michael Milford
Large scale visual place recognition with sub-linear storage growth. CoRR (2018)
Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung
DeepVQ: A Deep Network Architecture for Vector Quantization. CVPR Workshops (2018)
Huu Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford
A Binary Optimization Approach for Constrained K-Means Clustering. CoRR (2018)
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
Deterministic consensus maximization with biconvex programming. CoRR (2018)
Huu Le, Tat-Jun Chin, David Suter
An Exact Penalty Method for Locally Convergent Maximum Consensus. CVPR (2017)
Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. CoRR (2017)
Huu Le, Tat-Jun Chin, David Suter
RATSAC - Random Tree Sampling for Maximum Consensus Estimation. DICTA (2017)
Huu Le, Tat-Jun Chin, David Suter
Conformal Surface Alignment with Optimal Möbius Search. CVPR (2016)