| SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences H Le, TT Do, T Hoang, NM Cheung Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 101 | 2019 |
| Accessible Melanoma Detection using Smartphones and Mobile Image Analysis TT Do, T Hoang, V Pomponiu, Y Zhou, Z Chen, NM Cheung, D Koh, A Tan, ... IEEE Trans. on Multimedia (TMM), 2018, 2017 | 74 | 2017 |
| A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learning TT Do, T Tran, I Reid, V Kumar, T Hoang, G Carneiro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 71 | 2019 |
| Selective Deep Convolutional Features for Image Retrieval T Hoang, TT Do, DKL Tan, NM Cheung ACM Multimedia 2017, 2017 | 66 | 2017 |
| Multimodal mutual information maximization: A novel approach for unsupervised deep cross-modal hashing T Hoang, TT Do, TV Nguyen, NM Cheung IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6289-6302, 2022 | 35 | 2022 |
| 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 | 35 | 2019 |
| Unsupervised Deep Cross-modality Spectral Hashing T Hoang, TT Do, TV Nguyen, NM Cheung IEEE Transactions on Image Processing 29, 8391-8406, 2020 | 30 | 2020 |
| Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning TT Do, K Le, T Hoang, H Le, TV Nguyen, NM Cheung IEEE Transactions on Image Processing, 2019 | 23 | 2019 |
| Compact Hash Code Learning with Binary Deep Neural Network TT Do, TNA Hoang, K Le, D Doan, NM Cheung IEEE Transactions on Multimedia, 2019 | 22 | 2019 |
| Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks C Pham, T Hoang, TT Do Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 19 | 2023 |
| 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 | 15 | 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 |
| 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 |
| Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection T Hoang, S Rana, S Gupta, S Venkatesh Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 8 | 2024 |
| BTEL: A Binary Tree Encoding Approach for Visual Localization H Le, T Hoang, MJ Milford IEEE Robotics and Automation Letters 4 (4), 4354-4361, 2019 | 6 | 2019 |
| Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks T Hoang, TT Do, TV Nguyen, NM Cheung International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 4 | 2020 |
| Enhance Feature Discrimination for Unsupervised Hashing T Hoang, TT Do, DKL Tan, NM Cheung ICIP 2017. IEEE International Conference on Image Processing 2017, 2017 | 3* | 2017 |
| Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval T Hoang, TT Do, NM Cheung, M Riegler, J Zahálka Proceedings of the 28th ACM International Conference on Multimedia, 4448-4452, 2020 | 1 | 2020 |
| SASSE: Scalable and Adaptable 6-DOF Pose Estimation H Le, T Hoang, Q Zhang, TT Do, A Eriksson, M Milford arXiv preprint arXiv:1902.01549, 2019 | | 2019 |
| Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost H Le, M Xu, T Hoang, M Milford Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | | 2019 |
Thanh-Toan DoSenior Lecturer, Monash UniversityVerified email at monash.edu
