关注
Tao He
Tao He
在 uestc.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
2382018
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
662020
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
452017
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
422022
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
392020
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
332021
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
132019
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
122022
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
112023
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
112020
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
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
62021
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
52021
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
22024
Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation
T He, L Gao, J Song, YF Li
Information Sciences, 2023
2*2023
CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution
D Zhang, S Liang, T He, J Shao, K Qin
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024
12024
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, 2023
12023
Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries
Z Yang, X Liu, D Ouyang, G Duan, D Zhang, T He, YF Li
Proceedings of the 32nd ACM International Conference on Multimedia, 1495-1504, 2024
2024
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
M Li, D Zhang, T He, X Xie, YF Li, K Qin
Proceedings of the 32nd ACM International Conference on Multimedia, 4416-4425, 2024
2024
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality
R Dai, Y Tan, L Mo, T He, K Qin, S Liang
arXiv preprint arXiv:2409.04693, 2024
2024
系统目前无法执行此操作,请稍后再试。
文章 1–20