| SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences H Le, TT Do, T Hoang, NM Cheung The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 108 | 2019 |
| DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking KG Quach, P Nguyen, H Le, TD Truong, CN Duong, MT Tran, K Luu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 65 | 2021 |
| An Exact Penalty Method for Locally Convergent Maximum Consensus H Le, TJ Chin, D Suter The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 41 | 2017 |
| Deterministic approximate methods for maximum consensus robust fitting H Le, TJ Chin, A Eriksson, TT Do, D Suter IEEE transactions on pattern analysis and machine intelligence 43 (3), 842-857, 2019 | 40 | 2019 |
| From selective deep convolutional features to compact binary representations for image retrieval TT Do, T Hoang, DKL Tan, H Le, TV Nguyen, NM Cheung ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 36 | 2019 |
| Deterministic consensus maximization with biconvex programming Z Cai, TJ Chin, H Le, D Suter Proceedings of the European Conference on Computer Vision (ECCV), 685-700, 2018 | 35 | 2018 |
| A Binary Optimization Approach for Constrained K-Means Clustering H Le, A Eriksson, TT Do, M Milford Asian Conference on Computer Vision (ACCV), 2018 | 19 | 2018 |
| AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks H Le, RK Høier, CT Lin, C Zach Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| DeepVQ: A Deep Network Architecture for Vector Quantization DK Le Tan, H Le, T Hoang, TT Do, NM Cheung Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 16 | 2018 |
| Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing T Hoang, TT Do, H Le, DK Le-Tan, NM Cheung Computer Vision and Image Understanding 191, 102852, 2020 | 12 | 2020 |
| A Fast Resection-Intersection Method for the Known Rotation Problem Q Zhang, TJ Chin, H Minh Le Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 11 | 2018 |
| Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach G Truong, H Le, D Suter, E Zhang, SZ Gilani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
| Conformal Surface Alignment With Optimal Mobius Search H Le, TJ Chin, D Suter The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 10 | 2016 |
| Binary constrained deep hashing network for image retrieval without manual annotation TT Do, T Hoang, DK Le Tan, T Pham, H Le, NM Cheung, I Reid 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 695-704, 2019 | 9 | 2019 |
| Robust Fitting with Truncated Least Squares: A Bilevel Optimization Approach H Le, C Zach International Conference on 3D Vision (3DV), 2021 | 7 | 2021 |
| BTEL: A Binary Tree Encoding Approach for Visual Localization H Le, T Hoang, M Milford IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 6 | 2019 |
| RATSAC - Random Tree Sampling for Maximum Consensus Estimation H Le, TJ Chin, D Suter In Digital Image Computing: Techniques and Applications (DICTA), 2017, 2017 | 6 | 2017 |
| Depth Perspective-aware Multiple Object Tracking KG Quach, H Le, P Nguyen, CN Duong, TD Bui, K Luu arXiv preprint arXiv:2207.04551, 2022 | 5 | 2022 |
| Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach G Truong, H Le, E Zhang, D Suter, SZ Gilani IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 5 | 2022 |
| Progressive Batching for Efficient Non-linear Least Squares H Le, C Zach, E Rosten, O Woodford Asian Conference on Computer Vision (ACCV), 2020 | 5 | 2020 |
Thanh-Toan DoSenior Lecturer, Monash UniversityVerified email at monash.edu
