Follow
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
2232018
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
632020
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
422017
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
312020
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
262022
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
232021
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
112019
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
102020
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
102017
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
92022
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
42021
Semisupervised network embedding with differentiable deep quantization
T He, L Gao, J Song, YF Li
IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4791-4802, 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
12023
Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation
T He, L Gao, J Song, YF Li
Information Sciences, 2023
1*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
The system can't perform the operation now. Try again later.
Articles 1–16