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ORCIDTao He 0007
Person information
- affiliation: Monash University, Clayton, VIC, Australia
Other persons with the same name
- Tao He — disambiguation page
- Tao He 0001
![[0000-0002-9351-7329]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9351-7329")
— Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA - Tao He 0002 — Wuhan University, School of Remote Sensing and Information Engineering, China (and 1 more)
- Tao He 0003 — University of Iowa, Department of Radiology, Iowa City, IA, USA
- Tao He 0004 — Shanghai University, School of Computer Engineering and Science, Shanghai Key Laboratory of Computer Software Evaluating and Testing, China
- Tao He 0005 — Peking University, Beijing, China
- Tao He 0006 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Tao He 0008 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
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2020 – today
- 2024
[c10]Zhenhao Yang, Xin Liu, Deqiang Ouyang, Guiduo Duan, Dongyang Zhang, Tao He, Yuan-Fang Li:
Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries. ACM Multimedia 2024: 1495-1504- [c9]Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, Ke Qin:
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation. ACM Multimedia 2024: 4416-4425 - [i11]Tao He, Tongtong Wu, Dongyang Zhang, Guiduo Duan, Ke Qin, Yuan-Fang Li:
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning. CoRR abs/2401.14626 (2024) - 2023
- [j5]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation. Inf. Sci. 629: 520-532 (2023) - [j4]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation. IEEE Trans. Image Process. 32: 43-56 (2023) - [j3]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Toward a Unified Transformer-Based Framework for Scene Graph Generation and Human-Object Interaction Detection. IEEE Trans. Image Process. 32: 6274-6288 (2023) - [j2]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Semisupervised Network Embedding With Differentiable Deep Quantization. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4791-4802 (2023) - [i10]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection. CoRR abs/2311.01755 (2023) - 2022
- [b1]Tao He:
Towards Unbiased Scene Graph Generation: Techniques and Applications. Monash University, Australia, 2022 - [c8]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning. ECCV (28) 2022: 56-73 - [i9]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning. CoRR abs/2208.08165 (2022) - 2021
- [c7]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Exploiting Scene Graphs for Human-Object Interaction Detection. ICCV 2021: 15964-15973 - [i8]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Exploiting Scene Graphs for Human-Object Interaction Detection. CoRR abs/2108.08584 (2021) - [i7]Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li:
Semantic Compositional Learning for Low-shot Scene Graph Generation. CoRR abs/2108.08600 (2021) - [i6]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Semi-supervised Network Embedding with Differentiable Deep Quantisation. CoRR abs/2108.09128 (2021) - [i5]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Unsupervised Domain-adaptive Hash for Networks. CoRR abs/2108.09136 (2021) - 2020
- [j1]Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen:
Unified Binary Generative Adversarial Network for Image Retrieval and Compression. Int. J. Comput. Vis. 128(8): 2243-2264 (2020) - [c6]Tao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yuanfang Li:
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation. AAAI 2020: 4091-4098 - [c5]Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li:
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. IJCAI 2020: 587-593 - [i4]Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li:
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. CoRR abs/2006.07585 (2020)
2010 – 2019
- 2019
- [c4]Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks. IJCAI 2019: 2477-2483 - [i3]Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network. CoRR abs/1907.00612 (2019) - 2018
- [c3]Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen:
Binary Generative Adversarial Networks for Image Retrieval. AAAI 2018: 394-401 - [c2]Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen:
Deep Region Hashing for Generic Instance Search from Images. AAAI 2018: 402-409 - 2017
- [c1]Jingkuan Song, Tao He, Hangbo Fan, Lianli Gao:
Deep Discrete Hashing with Self-supervised Pairwise Labels. ECML/PKDD (1) 2017: 223-238 - [i2]Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen:
Deep Region Hashing for Efficient Large-scale Instance Search from Images. CoRR abs/1701.07901 (2017) - [i1]Jingkuan Song, Tao He, Hangbo Fan, Lianli Gao:
Deep Discrete Hashing with Self-supervised Pairwise Labels. CoRR abs/1707.02112 (2017)
Coauthor Index
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