Follow
Tuan Hoang
Title
Cited by
Cited by
Year
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
1052019
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
742017
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
722019
Selective Deep Convolutional Features for Image Retrieval
T Hoang, TT Do, DKL Tan, NM Cheung
ACM Multimedia 2017, 2017
662017
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
382022
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
362019
Unsupervised Deep Cross-modality Spectral Hashing
T Hoang, TT Do, TV Nguyen, NM Cheung
IEEE Transactions on Image Processing 29, 8391-8406, 2020
302020
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
232023
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
232019
Compact Hash Code Learning with Binary Deep Neural Network
TT Do, TNA Hoang, K Le, D Doan, NM Cheung
IEEE Transactions on Multimedia, 2019
222019
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
162018
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
122020
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
92024
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
92019
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
62019
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
42020
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
12020
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
The system can't perform the operation now. Try again later.
Articles 1–20