No photo of Haoyuan WANG

Haoyuan WANG, 王昊遠

Calculated based on number of publications stored in Pure and citations from Scopus
20222025

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0003-4392-1435

Fingerprint

Dive into the research topics where Haoyuan WANG is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles
View full fingerprint

Collaborations from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Explore network further
  • 3 RGC 32 - Refereed conference paper (with host publication)
  • 1 RGC 32 - Refereed conference paper (without host publication)

  • MAGE: Single Image to Material-Aware 3D via the Multi-View G-Buffer Estimation Model

    Wang, H., Wang, Z., Long, X., Lin, C., Hancke, G. & Lau, R. W. H., 27 Feb 2025, (Accepted/In press/Filed).

    Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review

  • Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields

    Wang, H., Hu, W., Zhu, L. & Lau, R. W. H., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). IEEE, p. 19999-20008

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Open Access
    2 Citations (Scopus)

  • Lighting up NeRF via Unsupervised Decomposition and Enhancement

    Wang, H., Xu, X., Xu, K. & Lau, R. W. H., Oct 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision (ICCV 2023). IEEE, p. 12598-12607 (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    26 Citations (Scopus)

  • Local Color Distributions Prior for Image Enhancement

    Wang, H., Xu, K. & Lau, R. W. H., 2022, Computer Vision – ECCV 2022: 17th European Conference, 2022, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer, Cham, p. 343-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13678 LNCS).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    57 Citations (Scopus)