ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection

Author:

Liu Ye1,Yuan Junsong2,Chen Chang Wen3

Affiliation:

1. Wuhan University, Wuhan, China

2. State University of New York at Buffalo, Buffalo, NY, USA

3. Peng Cheng Laboratory & The Chinese University of Hong Kong & State University of New York at Buffalo, Shenzhen, China

Funder

US NSF

Key-Area Research and Development Program of Guangdong Province, China

National Natural Science Foundation of China

Publisher

ACM

Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Human-Object Interaction Detection via Streamlining Matching Procedure and Enhancing Interaction Query;2024 Tenth International Conference on Communications and Electronics (ICCE);2024-07-31

2. QLDT: adaptive Query Learning for HOI Detection via vision-language knowledge Transfer;Applied Intelligence;2024-07-09

3. TED-Net: Dispersal Attention for Perceiving Interaction Region in Indirectly-Contact HOI Detection;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

4. Human–object interaction detection based on disentangled axial attention transformer;Machine Vision and Applications;2024-05-28

5. Contextual Human Object Interaction Understanding from Pre-Trained Large Language Model;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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