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2020 – today
- 2024
[j25]Thanh-Danh Nguyen
, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen:
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation. IEEE Access 12: 103488-103503 (2024)- [j24]Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo:
Robotic Perception of Transparent Objects: A Review. IEEE Trans. Artif. Intell. 5(6): 2547-2567 (2024) - [c57]Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran:
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. AAAI 2024: 2874-2881 - [c56]Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott:
Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study. ASSETS 2024: 44:1-44:20 - [c55]Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott:
Broadening Our View: Assistive Technology for Cerebral Visual Impairment. CHI Extended Abstracts 2024: 64:1-64:9 - [c54]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. ECCV (4) 2024: 372-389 - [c53]Tran Quang Vinh, Dinh Viet Quan, Thanh-Toan Do, Le Quoc Trung, Truong Thu Huong:
An Efficient Lightweight Anomaly Detection for 5G Core Network. ICCE 2024: 1-6 - [c52]Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do:
Sharpness-Aware Data Generation for Zero-shot Quantization. ICML 2024 - [c51]Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Frequency Attention for Knowledge Distillation. WACV 2024: 2266-2275 - [i75]Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do:
DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition. CoRR abs/2401.01387 (2024) - [i74]Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Frequency Attention for Knowledge Distillation. CoRR abs/2403.05894 (2024) - [i73]Parul Gupta, Munawar Hayat, Abhinav Dhall, Thanh-Toan Do:
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models. CoRR abs/2404.16556 (2024) - [i72]Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le:
Agnostic Sharpness-Aware Minimization. CoRR abs/2406.07107 (2024) - [i71]Jiaqi Jiang, Xuyang Zhang, Daniel Fernandes Gomes, Thanh-Toan Do, Shan Luo:
RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors. CoRR abs/2406.09332 (2024) - [i70]Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do:
PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval. CoRR abs/2406.12593 (2024) - [i69]Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR abs/2407.02721 (2024) - [i68]Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro:
Learning to Complement and to Defer to Multiple Users. CoRR abs/2407.07003 (2024) - [i67]Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR abs/2407.14726 (2024) - [i66]Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le:
Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR abs/2408.04221 (2024) - [i65]Jingyong Liang, Bernd Meyer, Issac Ning Lee, Thanh-Toan Do:
Self-supervised Learning for Acoustic Few-Shot Classification. CoRR abs/2409.09647 (2024) - 2023
- [j23]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 841-851 (2023) - [j22]Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Tam V. Nguyen:
Instance-Level Few-Shot Learning With Class Hierarchy Mining. IEEE Trans. Image Process. 32: 2374-2385 (2023) - [j21]Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Task Weighting in Meta-learning with Trajectory Optimisation. Trans. Mach. Learn. Res. 2023 (2023) - [j20]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6289-6302 (2023) - [c50]Bhanuka Gamage, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott:
What do Blind and Low-Vision People Really Want from Assistive Smart Devices? Comparison of the Literature with a Focus Study. ASSETS 2023: 30:1-30:21 - [c49]Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung:
Optimal Transport Model Distributional Robustness. NeurIPS 2023 - [c48]Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le:
Flat Seeking Bayesian Neural Networks. NeurIPS 2023 - [c47]Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS 2023 - [c46]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV 2023: 2287-2297 - [c45]Cuong Pham, Tuan Hoang, Thanh-Toan Do:
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. WACV 2023: 6424-6432 - [i64]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Task Weighting in Meta-learning with Trajectory Optimisation. CoRR abs/2301.01400 (2023) - [i63]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. CoRR abs/2301.01405 (2023) - [i62]Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le:
Flat Seeking Bayesian Neural Networks. CoRR abs/2302.02713 (2023) - [i61]Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran:
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. CoRR abs/2303.05105 (2023) - [i60]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR abs/2303.10802 (2023) - [i59]Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo:
Robotic Perception of Transparent Objects: A Review. CoRR abs/2304.00157 (2023) - [i58]Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen:
Few-shot Camouflaged Animal Detection and Segmentation. CoRR abs/2304.07444 (2023) - [i57]Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Tam V. Nguyen:
Instance-level Few-shot Learning with Class Hierarchy Mining. CoRR abs/2304.07459 (2023) - [i56]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Noisy-label Learning with Sample Selection based on Noise Rate Estimate. CoRR abs/2305.19486 (2023) - [i55]Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung:
Optimal Transport Model Distributional Robustness. CoRR abs/2306.04178 (2023) - [i54]Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen:
Few-Shot Object Detection via Synthetic Features with Optimal Transport. CoRR abs/2308.15005 (2023) - [i53]Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do:
Unveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation. CoRR abs/2308.15660 (2023) - 2022
- [j19]Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Khanh-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen:
Few-shot object detection via baby learning. Image Vis. Comput. 120: 104398 (2022) - [j18]Bakhtiar Amen, Syahirul Faiz, Thanh-Toan Do:
Big data directed acyclic graph model for real-time COVID-19 twitter stream detection. Pattern Recognit. 123: 108404 (2022) - [j17]Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo:
A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. IEEE Robotics Autom. Lett. 7(4): 9826-9833 (2022) - [j16]Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Minh-Quan Le, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen:
Camouflaged Instance Segmentation In-the-Wild: Dataset, Method, and Benchmark Suite. IEEE Trans. Image Process. 31: 287-300 (2022) - [c44]Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo:
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract). IJCAI 2022: 5324-5328 - [i52]Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo:
A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. CoRR abs/2207.04907 (2022) - [i51]Jiaqi Jiang, Guanqun Cao, Aaron Butterworth, Thanh-Toan Do, Shan Luo:
Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping. CoRR abs/2208.09743 (2022) - [i50]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR abs/2209.00906 (2022) - [i49]Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong, Thanh-Toan Do, Quan Hung Tran, Dinh Q. Phung, Trung Le:
Vision Transformer Visualization: What Neurons Tell and How Neurons Behave? CoRR abs/2210.07646 (2022) - [i48]Cuong Pham, Tuan Hoang, Thanh-Toan Do:
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. CoRR abs/2210.16103 (2022) - 2021
- [j15]Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen:
MirrorNet: Bio-Inspired Camouflaged Object Segmentation. IEEE Access 9: 43290-43300 (2021) - [j14]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid:
Visual localization under appearance change: filtering approaches. Neural Comput. Appl. 33(13): 7325-7338 (2021) - [j13]Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter:
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 842-857 (2021) - [c43]Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo:
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. RuleML+RR 2021: 203-217 - [c42]Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic task modelling for meta-learning. UAI 2021: 781-791 - [i47]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Similarity of Classification Tasks. CoRR abs/2101.11201 (2021) - [i46]Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen:
Camouflaged Instance Segmentation: Dataset and Benchmark Suite. CoRR abs/2103.17123 (2021) - [i45]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic task modelling for meta-learning. CoRR abs/2106.04802 (2021) - [i44]Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo:
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. CoRR abs/2111.01042 (2021) - [i43]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. CoRR abs/2112.06489 (2021) - 2020
- [j12]Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung:
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. Comput. Vis. Image Underst. 191: 102852 (2020) - [j11]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Unsupervised Deep Cross-modality Spectral Hashing. IEEE Trans. Image Process. 29: 8391-8406 (2020) - [j10]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan, Ngai-Man Cheung:
Compact Hash Code Learning With Binary Deep Neural Network. IEEE Trans. Multim. 22(4): 992-1004 (2020) - [c41]Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. BMVC 2020 - [c40]Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Multiple Interaction Learning with Question-Type Prior Knowledge for Constraining Answer Search Space in Visual Question Answering. ECCV Workshops (2) 2020: 496-510 - [c39]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. IJCAI 2020: 2111-2118 - [c38]Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do:
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. IJCNN 2020: 1-8 - [c37]Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka:
Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2020: 4448-4452 - [c36]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. WACV 2020: 3079-3089 - [i42]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayesian Meta-learning with Implicit Prior. CoRR abs/2003.02455 (2020) - [i41]Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do:
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. CoRR abs/2005.07308 (2020) - [i40]Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen:
MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation. CoRR abs/2007.12881 (2020) - [i39]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Unsupervised Deep Cross-modality Spectral Hashing. CoRR abs/2008.00223 (2020) - [i38]Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. CoRR abs/2009.04091 (2020) - [i37]Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering. CoRR abs/2009.11118 (2020) - [i36]Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. CoRR abs/2012.13762 (2020)
2010 – 2019
- 2019
- [j9]Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Mengxuan Tan, Ngai-Man Cheung:
On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Trans. Image Process. 28(4): 1675-1690 (2019) - [j8]Tam V. Nguyen, Khanh-Duy Nguyen, Thanh-Toan Do:
Semantic Prior Analysis for Salient Object Detection. IEEE Trans. Image Process. 28(6): 3130-3141 (2019) - [j7]Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. IEEE Trans. Image Process. 28(10): 4954-4969 (2019) - [j6]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 43:1-43:22 (2019) - [c35]Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung:
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. CVPR 2019: 124-133 - [c34]Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis:
Real-Time 6DOF Pose Relocalization for Event Cameras With Stacked Spatial LSTM Networks. CVPR Workshops 2019: 1638-1645 - [c33]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR 2019: 10404-10413 - [c32]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid:
Visual Localization under Appearance Change: A Filtering Approach. DICTA 2019: 1-8 - [c31]Tuong Do, Huy Tran, Thanh-Toan Do, Erman Tjiputra, Quang D. Tran:
Compact Trilinear Interaction for Visual Question Answering. ICCV 2019: 392-401 - [c30]Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid:
Scalable Place Recognition Under Appearance Change for Autonomous Driving. ICCV 2019: 9318-9327 - [c29]Anh Nguyen, Quang D. Tran, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
Object Captioning and Retrieval with Natural Language. ICCV Workshops 2019: 2584-2592 - [c28]Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. ICML 2019: 6295-6304 - [c27]Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran:
Overcoming Data Limitation in Medical Visual Question Answering. MICCAI (4) 2019: 522-530 - [c26]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid:
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. WACV 2019: 695-704 - [i35]Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid:
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. CoRR abs/1901.03796 (2019) - [i34]Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford:
SASSE: Scalable and Adaptable 6-DOF Pose Estimation. CoRR abs/1902.01549 (2019) - [i33]Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation. CoRR abs/1903.10869 (2019) - [i32]Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung:
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CoRR abs/1904.03483 (2019) - [i31]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR abs/1904.08720 (2019) - [i30]Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. CoRR abs/1904.11643 (2019) - [i29]Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. CoRR abs/1904.11820 (2019) - [i28]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. CoRR abs/1907.11864 (2019) - [i27]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid:
Scalable Place Recognition Under Appearance Change for Autonomous Driving. CoRR abs/1908.00178 (2019) - [i26]Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran:
Overcoming Data Limitation in Medical Visual Question Answering. CoRR abs/1909.11867 (2019) - [i25]Tuong Do, Thanh-Toan Do, Huy Tran, Erman Tjiputra, Quang D. Tran:
Compact Trilinear Interaction for Visual Question Answering. CoRR abs/1909.11874 (2019) - 2018
- [j5]Thanh-Toan Do, Ngai-Man Cheung:
Embedding Based on Function Approximation for Large Scale Image Search. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 626-638 (2018) - [j4]Duc Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, John Yearwood:
Improving Chamfer Template Matching Using Image Segmentation. IEEE Signal Process. Lett. 25(11): 1635-1639 (2018) - [j3]Yiren Zhou, Thanh-Toan Do, Haitian Zheng, Ngai-Man Cheung, Lu Fang:
Computation and Memory Efficient Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. 28(1): 46-61 (2018) - [j2]Thanh-Toan Do, Tuan Hoang, Victor Pomponiu, Yiren Zhou, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan:
Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis. IEEE Trans. Multim. 20(10): 2849-2864 (2018) - [c25]Huu M. Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford:
A Binary Optimization Approach for Constrained K-Means Clustering. ACCV (4) 2018: 383-398 - [c24]Thanh-Toan Do, Trung Pham, Ming Cai, Ian Reid:
LieNet: Real-time Monocular Object Instance 6D Pose Estimation. BMVC 2018: 2 - [c23]Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter:
Non-smooth M-estimator for Maximum Consensus Estimation. BMVC 2018: 4 - [c22]Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung:
DeepVQ: A Deep Network Architecture for Vector Quantization. CVPR Workshops 2018: 2579-2582 - [c21]Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) 2018: 3-18 - [c20]Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung:
Supervised Hashing with End-to-End Binary Deep Neural Network. ICIP 2018: 3019-3023 - [c19]Thanh-Toan Do, Anh Nguyen, Ian D. Reid:
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. ICRA 2018: 1-5 - [c18]Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid:
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. ICRA 2018: 1-9 - [c17]Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do:
MediaEval 2018: Predicting Media Memorability. MediaEval 2018 - [i24]Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. CoRR abs/1802.02899 (2018) - [i23]Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Ngai-Man Cheung:
On-device Scalable Image-based Localization. CoRR abs/1802.03510 (2018) - [i22]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. CoRR abs/1802.06645 (2018) - [i21]Thanh-Toan Do, Dang-Khoa Le Tan, Trung Pham, Tuan Hoang, Ngai-Man Cheung:
Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention. CoRR abs/1802.07437 (2018) - [i20]Thanh-Toan Do, Ming Cai, Trung Pham, Ian D. Reid:
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image. CoRR abs/1802.10367 (2018) - [i19]Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
Object Captioning and Retrieval with Natural Language. CoRR abs/1803.06152 (2018) - [i18]Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. CoRR abs/1806.00911 (2018) - [i17]Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin:
G2D: from GTA to Data. CoRR abs/1806.07381 (2018) - [i16]Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, France Rennes:
MediaEval 2018: Predicting Media Memorability Task. CoRR abs/1807.01052 (2018) - [i15]Huu Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford:
A Binary Optimization Approach for Constrained K-Means Clustering. CoRR abs/1810.10134 (2018) - [i14]Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
Practical Visual Localization for Autonomous Driving: Why Not Filter? CoRR abs/1811.08063 (2018) - 2017
- [c16]Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search. CVPR 2017: 4217-4226 - [c15]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhancing feature discrimination for unsupervised hashing. ICIP 2017: 3710-3714 - [c14]Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Michael Gygli, Ngoc Q. K. Duong:
MediaEval 2017 Predicting Media Interestingness Task. MediaEval 2017 - [c13]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2017: 1600-1608 - [p1]Claire-Hélène Demarty, Mats Sjöberg, Mihai Gabriel Constantin, Ngoc Q. K. Duong, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang:
Predicting Interestingness of Visual Content. Visual Content Indexing and Retrieval with Psycho-Visual Models 2017: 233-265 - [i13]Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Large-scale Image Search. CoRR abs/1704.00860 (2017) - [i12]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Enhance Feature Discrimination for Unsupervised Hashing. CoRR abs/1704.01754 (2017) - [i11]Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung:
Selective Deep Convolutional Features for Image Retrieval. CoRR abs/1707.00809 (2017) - [i10]Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis:
Real-Time Pose Estimation for Event Cameras with Stacked Spatial LSTM Networks. CoRR abs/1708.09011 (2017) - [i9]Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid:
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. CoRR abs/1709.07158 (2017) - [i8]Thanh-Toan Do, Anh Nguyen, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. CoRR abs/1709.07326 (2017) - [i7]Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung:
Supervised Hashing with End-to-End Binary Deep Neural Network. CoRR abs/1711.08901 (2017) - [i6]Thanh-Toan Do, Victor Pomponiu, Yiren Zhou, Tuan Hoang, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan:
Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. CoRR abs/1711.09553 (2017) - [i5]Thanh-Toan Do, Dang-Khoa Le Tan, Tuan Hoang, Ngai-Man Cheung:
Compact Hash Code Learning with Binary Deep Neural Network. CoRR abs/1712.02956 (2017) - 2016
- [j1]Hossein Nejati, Victor Pomponiu, Thanh-Toan Do, Yiren Zhou, Sahar Iravani, Ngai-Man Cheung:
Smartphone and Mobile Image Processing for Assisted Living: Health-monitoring apps powered by advanced mobile imaging algorithms. IEEE Signal Process. Mag. 33(4): 30-48 (2016) - [c12]Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung:
Learning to Hash with Binary Deep Neural Network. ECCV (5) 2016: 219-234 - [c11]Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung:
Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. ECCV (2) 2016: 802-817 - [c10]Yiren Zhou, Hossein Nejati, Thanh-Toan Do, Ngai-Man Cheung, Lynette Cheah:
Image-based vehicle analysis using deep neural network: A systematic study. DSP 2016: 276-280 - [c9]Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang, Ngoc Q. K. Duong, Frédéric Lefèbvre:
MediaEval 2016 Predicting Media Interestingness Task. MediaEval 2016 - [i4]Thanh-Toan Do, Ngai-Man Cheung:
Embedding based on function approximation for large scale image search. CoRR abs/1605.06914 (2016) - [i3]Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung:
Learning to Hash with Binary Deep Neural Network. CoRR abs/1607.05140 (2016) - [i2]Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung:
Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. CoRR abs/1607.05396 (2016) - 2015
- [c8]Thanh-Toan Do, Quang D. Tran, Ngai-Man Cheung:
FAemb: A function approximation-based embedding method for image retrieval. CVPR 2015: 3556-3564 - [i1]Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung:
Discrete Hashing with Deep Neural Network. CoRR abs/1508.07148 (2015) - 2014
- [c7]Thanh-Toan Do, Yiren Zhou, Haitian Zheng, Ngai-Man Cheung, Dawn Chin-Ing Koh:
Early melanoma diagnosis with mobile imaging. EMBC 2014: 6752-6757 - 2012
- [b1]Thanh-Toan Do:
Security analysis of image copy detection systems based on SIFT descriptors. University of Rennes 1, France, 2012 - [c6]Thanh-Toan Do, Ewa Kijak:
Face recognition using Co-occurrence Histograms of Oriented Gradients. ICASSP 2012: 1301-1304 - [c5]Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon:
Enlarging hacker's toolbox: Deluding image recognition by attacking keypoint orientations. ICASSP 2012: 1817-1820 - [c4]Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon:
Security-oriented picture-in-picture visual modifications. ICMR 2012: 13 - 2010
- [c3]Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg:
Deluding image recognition in sift-based cbir systems. MiFor@MM 2010: 7-12 - [c2]Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg:
Understanding the security and robustness of SIFT. ACM Multimedia 2010: 1195-1198 - [c1]Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg:
Challenging the security of Content-Based Image Retrieval systems. MMSP 2010: 52-57
Coauthor Index
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