Huu Le

39 papers A* 7A 2Misc 1Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2023 — conf
Exploiting Redundancy for Large Scale Bundle Adjustment: In Partial Defense of Minimization by Alternation.
SCIA (2)
Christopher Zach, Huu Le
2023 J jnl
Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell.
Giang Truong, Huu Le, Erchuan Zhang, David Suter, Syed Zulqarnain Gilani
2022 A* conf
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks.
CVPR
Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach
2022 J jnl
Depth Perspective-aware Multiple Object Tracking.
CoRR
Kha Gia Quach, Huu Le, Pha A. Nguyen, Chi Nhan Duong, Tien Dai Bui, Khoa Luu
2022 J jnl
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration.
CoRR
Giang Truong, Huu Le, Álvaro Parra, Syed Zulqarnain Gilani, Syed M. S. Islam, David Suter
2021 J jnl
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks.
CoRR
Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach
2021 J jnl
Deterministic Approximate Methods for Maximum Consensus Robust Fitting.
IEEE Trans. Pattern Anal. Mach. Intell.
Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter
2021 A* conf
DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking.
CVPR
Kha Gia Quach, Pha A. Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu
2021 J jnl
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking.
CoRR
Kha Gia Quach, Pha A. Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu
2021 J jnl
Escaping Poor Local Minima in Large Scale Robust Estimation.
CoRR
Huu Le, Christopher Zach
2021 — conf
Robust Fitting with Truncated Least Squares: A Bilevel Optimization Approach.
3DV
Huu Le, Christopher Zach
2021 A* conf
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach.
CVPR
Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani
2021 J jnl
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach.
CoRR
Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani
2020 A* conf
A Graduated Filter Method for Large Scale Robust Estimation.
CVPR
Huu Le, Christopher Zach
2020 J jnl
A Graduated Filter Method for Large Scale Robust Estimation.
CoRR
Huu Le, Christopher Zach
2020 — conf
Progressive Batching for Efficient Non-linear Least Squares.
ACCV (3)
Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford
2020 J jnl
Progressive Batching for Efficient Non-linear Least Squares.
CoRR
Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford
2020 J jnl
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing.
Comput. Vis. Image Underst.
Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung
2020 — conf
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning.
ECCV (26)
Christopher Zach, Huu Le
2020 J jnl
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning.
CoRR
Christopher Zach, Huu Le
2019 J jnl
BTEL: A Binary Tree Encoding Approach for Visual Localization.
CoRR
Huu Le, Tuan Hoang, Michael Milford
2019 J jnl
BTEL: A Binary Tree Encoding Approach for Visual Localization.
IEEE Robotics Autom. Lett.
Huu Le, Tuan Hoang, Michael J. Milford
2019 A conf
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation.
WACV
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid
2019 J jnl
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval.
ACM Trans. Multim. Comput. Commun. Appl.
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
2019 A* conf
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost.
ICCV
Huu Le, Ming Xu, Tuan Hoang, Michael Milford
2019 J jnl
SASSE: Scalable and Adaptable 6-DOF Pose Estimation.
CoRR
Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford
2019 J jnl
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences.
CoRR
Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
2019 J jnl
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning.
CoRR
Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
2019 J jnl
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning.
IEEE Trans. Image Process.
Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
2018 J jnl
A Binary Optimization Approach for Constrained K-Means Clustering.
CoRR
Huu Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford
2018 — conf
DeepVQ: A Deep Network Architecture for Vector Quantization.
CVPR Workshops
Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung
2018 — conf
Deterministic Consensus Maximization with Biconvex Programming.
ECCV (12)
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
2018 J jnl
Deterministic consensus maximization with biconvex programming.
CoRR
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
2018 J jnl
Large scale visual place recognition with sub-linear storage growth.
CoRR
Huu Le, Michael Milford
2018 A conf
Non-smooth M-estimator for Maximum Consensus Estimation.
BMVC
Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter
2017 A* conf
An Exact Penalty Method for Locally Convergent Maximum Consensus.
CVPR
Huu Le, Tat-Jun Chin, David Suter
2017 J jnl
Deterministic Approximate Methods for Maximum Consensus Robust Fitting.
CoRR
Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter
2017 Misc conf
RATSAC - Random Tree Sampling for Maximum Consensus Estimation.
DICTA
Huu Le, Tat-Jun Chin, David Suter
2016 A* conf
Conformal Surface Alignment with Optimal Möbius Search.
CVPR
Huu Le, Tat-Jun Chin, David Suter