Tao He
Tao He
Verified email at monash.edu
Cited by
Cited by
Binary generative adversarial networks for image retrieval
J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen
Thirty-second AAAI conference on artificial intelligence, 2018
Unified Binary Generative Adversarial Network for Image Retrieval and Compression.
J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen
Int. J. Comput. Vis. 128 (8), 2243-2264, 2020
Deep region hashing for efficient large-scale instance search from images
J Song, T He, L Gao, X Xu, HT Shen
arXiv preprint arXiv:1701.07901, 2017
Deep discrete hashing with self-supervised pairwise labels
J Song, T He, H Fan, L Gao
Joint european conference on machine learning and knowledge discovery in …, 2017
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
T He, YF Li, L Gao, D Zhang, J Song
arXiv preprint arXiv:1907.00612, 2019
Learning from the scene and borrowing from the rich: Tackling the long tail in scene graph generation
T He, L Gao, J Song, J Cai, YF Li
arXiv preprint arXiv:2006.07585, 2020
Sneq: Semi-supervised attributed network embedding with attention-based quantisation
T He, L Gao, J Song, X Wang, K Huang, Y Li
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4091-4098, 2020
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