Thanh-Toan Do

Department of Computer Science, University of Liverpool

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His research interests include Computer Vision and Machine Learning. Some particular research problems are Visual Search, Visual Question Answering, Metric Learning.

Papers73 papers

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Compact Hash Code Learning With Binary Deep Neural Network

Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan,Ngai-Man Cheung

IEEE Transactions on Multimedia, no. 4 (2020): 992-1004

Cited by2EIWOSBibtex

Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval

Tuan Hoang,Thanh-Toan Do,Ngai-Man Cheung, Michael Riegler, Jan Zahálka

MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA ..., pp.4448-4452, (2020)

EIBibtex

Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering

Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran,Thanh-Toan Do

ECCV Workshops, pp.496-510, (2020)

EIBibtex

Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding

Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran,Thanh-Toan Do

BMVC, (2020)

EIBibtex

Unsupervised Deep Cross-modality Spectral Hashing

Tuan Hoang,Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, (2020): 8391-8406

WOSBibtex

MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation

Jinnan Yan,Trung-Nghia Le, Khanh-Duy Nguyen,Minh-Triet Tran,Thanh-Toan Do, Tam V. Nguyen

Bibtex

Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks

Tuan Hoang,Thanh-Toan Do,Tam V. Nguyen,Ngai-Man Cheung

IJCAI, pp.2111-2118, (2020)

EIBibtex

PAC-Bayesian Meta-learning with Implicit Prior

Nguyen Cuong,Do Thanh-Toan,Carneiro Gustavo

Bibtex

Visual localization under appearance change: filtering approaches

Anh-Dzung Doan,Yasir Latif,Tat-Jun Chin,Yu Liu, Shin-Fang Ch’ng,Thanh-Toan Do,Ian Reid

Neural Computing and Applications, pp.1-14, (2020)

Bibtex

Scalable Place Recognition Under Appearance Change for Autonomous Driving

Anh-Dzung Doan,Yasir Latif,Tat-Jun Chin,Yu Liu,Thanh-Toan Do,Ian D. Reid

international conference on computer vision, pp.9319-9328, (2019)

Cited by3Bibtex

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval

Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen,Ngai-Man Cheung

TOMCCAP, no. 2 (2019): 1-22

Cited by11EIBibtex

Bayesian Generative Active Deep Learning

Toan Tran,Thanh-Toan Do,Ian Reid,Gustavo Carneiro

arXiv: Learning, (2019)

Cited by7EIBibtex

Object Captioning and Retrieval with Natural Language

Anh Nguyen, Quang D. Tran,Thanh-Toan Do,Ian D. Reid,Darwin G. Caldwell,Nikos G. Tsagarakis

ICCV Workshops, pp.2584-2592, (2019)

Cited by6EIBibtex

Scalable Place Recognition Under Appearance Change for Autonomous Driving

Dzung Doan,Yasir Latif,Tat-Jun Chin,Yu Liu,Thanh-Toan Do,Ian D. Reid

ICCV, pp.9318-9327, (2019)

EIBibtex

Compact Trilinear Interaction for Visual Question Answering

Tuong Do, Huy Tran,Thanh-Toan Do, Erman Tjiputra, Quang D. Tran

ICCV, pp.392-401, (2019)

EIBibtex

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference

Nguyen Cuong,Do Thanh-Toan,Carneiro Gustavo

WACV, pp.3079-3089, (2019)

Cited by3EIBibtex

Visual Localization under Appearance Change - A Filtering Approach

Anh-Dzung Doan,Yasir Latif, Thanh-Toan Do,Yu Liu, Shin-Fang Ch'ng,Thanh-Toan Do,Ian D. Reid

arXiv: Computer Vision and Pattern Recognition, pp.1-8, (2019)

Cited by1EIBibtex

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

Tuan Hoang,Thanh-Toan Do, Huu Le, Dang-Khoa Le-Tan,Ngai-Man Cheung

Computer Vision and Image Understanding, (2019): 102852

Cited by1EIBibtex

Compact Trilinear Interaction for Visual Question Answering

Tuong Do,Thanh-Toan Do, Huy Tran, Erman Tjiputra, Quang D. Tran

international conference on computer vision, pp.392-401, (2019)

Cited by4Bibtex

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

Thanh-Toan Do, Toan Tran,Ian D. Reid,B. G. Vijay Kumar,Tuan Hoang,Gustavo Carneiro

CVPR, (2019): 10404-10413

Cited by9EIBibtex

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