Hao Wang
Orcid: 0000-0002-3086-3128Affiliations:
- Hong Kong University of Science and Technology, Guangzhou, China
- Nanyang Technological University, Singapore (PhD)
According to our database1,
Hao Wang
authored at least 23 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on wanghao.tech
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
Int. J. Comput. Vis., December, 2024
Int. J. Comput. Vis., October, 2024
HMR-Adapter: A Lightweight Adapter with Dual-Path Cross Augmentation for Expressive Human Mesh Recovery.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction.
CoRR, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism.
IEEE Trans. Multim., 2022
IEEE Trans. Image Process., 2022
Pattern Recognit., 2022
CoRR, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
2020
Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images.
CoRR, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019