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Tao He
Tao He
Verified email at uestc.edu.cn
Title
Cited by
Cited by
Year
Binary generative adversarial networks for image retrieval
J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen
Proceedings of the AAAI Conference on Artificial Intelligence 32, 2018
2172018
Unified Binary Generative Adversarial Network for Image Retrieval and Compression.
J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen
International Journal of Computer Vision 128 (8), 2243-2264, 2020
612020
Deep region hashing for efficient large-scale instance search from images
J Song, T He, L Gao, X Xu, HT Shen
Proceedings of the AAAI Conference on Artificial Intelligence 32, 2017
402017
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
International Joint Conference on Artificial Intelligence (IJCAI-20), 2020
302020
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning
T He, L Gao, J Song, YF Li
European Conference on Computer Vision (ECCV) 2022, 2022
222022
Exploiting Scene Graphs for Human-Object Interaction Detection
T He, L Gao, J Song, YF Li
International Conference on Computer Vision (ICCV), 15984-15993, 2021
202021
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
112017
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
T He, YF Li, L Gao, D Zhang, J Song
International Joint Conference on Artificial Intelligence (IJCAI-19), 2019
102019
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
92020
State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation
T He, L Gao, J Song, YF Li
IEEE Transactions on Image Processing 32, 43-56, 2022
52022
Semisupervised network embedding with differentiable deep quantization
T He, L Gao, J Song, YF Li
IEEE Transactions on Neural Networks and Learning Systems, 2021
32021
Semantic compositional learning for low-shot scene graph generation
T He, L Gao, J Song, J Cai, YF Li
arXiv preprint arXiv:2108.08600, 2021
32021
Towards lifelong scene graph generation with knowledge-ware in-context prompt learning
T He, T Wu, D Zhang, G Duan, K Qin, YF Li
arXiv preprint arXiv:2401.14626, 2024
12024
Toward a Unified Transformer-Based Framework for Scene Graph Generation and Human-Object Interaction Detection
T He, L Gao, J Song, YF Li
IEEE Transactions on Image Processing 32, 6274-6288, 2023
2023
Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation
T He, L Gao, J Song, YF Li
Information Sciences, 2023
2023
Vqa and Visual Reasoning: An Overview of Approaches, Datasets, and Future Direction
R ZAKARI, JW Owusu, K Qin, H Wang, ZK Lawal, T He
Datasets, and Future Direction, 0
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