Huu Le

According to our database, Huu Le authored at least 31 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 2023

Exploiting Redundancy for Large Scale Bundle Adjustment: In Partial Defense of Minimization by Alternation.

Christopher Zach, Huu Le

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

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

Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration.

Giang Truong, Huu Le, Álvaro Parra, Syed Zulqarnain Gilani, Syed M. S. Islam, David Suter

CoRR, 2022

AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks.

Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Escaping Poor Local Minima in Large Scale Robust Estimation.

Huu Le, Christopher Zach

CoRR, 2021

Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach.

Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust Fitting with Truncated Least Squares: A Bilevel Optimization Approach.

Huu Le, Christopher Zach

Proceedings of the International Conference on 3D Vision, 2021

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

Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning.

Christopher Zach, Huu Le

Proceedings of the Computer Vision - ECCV 2020, 2020

A Graduated Filter Method for Large Scale Robust Estimation.

Huu Le, Christopher Zach

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Progressive Batching for Efficient Non-linear Least Squares.

Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

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, Ngai-Man Cheung

ACM Trans. Multim. Comput. Commun. Appl., 2019

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning.

Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung

IEEE Trans. Image Process., 2019

BTEL: A Binary Tree Encoding Approach for Visual Localization.

Huu Le, Tuan Hoang, Michael J. Milford

IEEE Robotics Autom. Lett., 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

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost.

Huu Le, Ming Xu, Tuan Hoang, Michael Milford

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences.

Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Large scale visual place recognition with sub-linear storage growth.

Huu Le, Michael Milford

CoRR, 2018

Deterministic Consensus Maximization with Biconvex Programming.

Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter

Proceedings of the Computer Vision - ECCV 2018, 2018

A Fast Resection-Intersection Method for the Known Rotation Problem.

Qianggong Zhang, Tat-Jun Chin, Huu M. Le

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

DeepVQ: A Deep Network Architecture for Vector Quantization.

Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Non-smooth M-estimator for Maximum Consensus Estimation.

Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter

Proceedings of the British Machine Vision Conference 2018, 2018

A Binary Optimization Approach for Constrained K-Means Clustering.

Huu M. Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Deterministic Approximate Methods for Maximum Consensus Robust Fitting.

Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter

CoRR, 2017

RATSAC - Random Tree Sampling for Maximum Consensus Estimation.

Huu Le, Tat-Jun Chin, David Suter

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

An Exact Penalty Method for Locally Convergent Maximum Consensus.

Huu Le, Tat-Jun Chin, David Suter

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Conformal Surface Alignment with Optimal Möbius Search.

Huu Le, Tat-Jun Chin, David Suter

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016