Huu Le

Visar 12 publikationer

2023

Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach

Giang Truong, Huu Le, Erchuan Zhang et al
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 45 (3), p. 3890-3903
Artikel i vetenskaplig tidskrift
2023

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

Christopher Zach, Huu Le
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Paper i proceeding
2022

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

Huu Le, Rasmus Kjær Høier, Che-Tsung Lin et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2022-June, p. 460-469
Paper i proceeding
2021

Robust Fitting with Truncated Least Squares: A Bilevel Optimization Approach

Huu Le, Christopher Zach
Proceedings - 2021 International Conference on 3D Vision, 3DV 2021, p. 1392-1400
Paper i proceeding
2021

Dyglip: A dynamic graph model with link prediction for accurate multi-camera multiple object tracking

Kha Gia Quach, Pha Nguyen, Huu Le et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 13779-13788
Paper i proceeding
2021

Progressive Batching for Efficient Non-linear Least Squares

Huu Le, Christopher Zach, Edward Rosten et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12624 LNCS, p. 506-522
Paper i proceeding
2021

Deterministic Approximate Methods for Maximum Consensus Robust Fitting

Huu Le, Tat Jun Chin, Anders Eriksson et al
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 43 (3), p. 842-857
Artikel i vetenskaplig tidskrift
2021

Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach

Giang Truong, Huu Le, David Suter et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 10343-10352
Paper i proceeding
2020

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

Christopher Zach, Huu Le
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12371 LNCS, p. 464-480
Paper i proceeding
2020

Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing

Tuan Hoang, Thanh Toan Do, Huu Le et al
Computer Vision and Image Understanding. Vol. 191
Artikel i vetenskaplig tidskrift
2020

A Graduated Filter Method for Large Scale Robust Estimation

Huu Le, Christopher Zach
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 5558-5567
Paper i proceeding
2019

Simultaneous feature aggregating and hashing for compact binary code learning

Thanh Toan Do, Khoa Le, Tuan Hoang et al
IEEE Transactions on Image Processing. Vol. 28 (10), p. 4954-4969
Artikel i vetenskaplig tidskrift

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Visar 2 forskningsprojekt

2021–2021

Learning to Solve Robust Visual Odometry

Huu Le Digitala bildsystem och bildanalys
Chalmers AI-forskningscentrum (CHAIR)

2019–2021

Wind Turbine Bird Strike Avoidance System (WITURBISA)

Huu Le Digitala bildsystem och bildanalys
VINNOVA

Det kan finnas fler projekt där Huu Le medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.