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Jiahui Huang. Research Scientist. Nice to meet you. I am currently a research scientist at NVIDIA Toronto AI Lab led by Sanja Fidler . I received my Ph.D. in 2023 from the Graphics and Geometric Computing Group at Tsinghua University, China, advised by Shi-Min Hu .
- Multiway Non-rigid Point Cloud Registration ... - Jiahui Huang
Given a set of such point clouds, our method first computes...
- Jiahui (Gabriel) Huang
Jiahui (Gabriel) Huang. I work at Adobe Research on exciting...
- Multiway Non-rigid Point Cloud Registration ... - Jiahui Huang
Jiahui (Gabriel) Huang. Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …. J Huang, YK Chia, S Yu, K Yee, D Küster, EG Krumhuber, D Herremans, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ….
Clusterslam: A slam backend for simultaneous rigid body clustering and motion estimation. J Huang, S Yang, Z Zhao, YK Lai, SM Hu. Proceedings of the IEEE/CVF International Conference on Computer Vision …. , 2019. 71. 2019. Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization.
JIAHUI HUANG. Graduate student, University of California Los Angeles. Verified email at g.ucla.edu. quantum optics optical spectroscopy quantum dot-cavity QED Silicon color centers. Title. Sort. Sort by citations Sort by year Sort by title. Cited by.
1. 2022. Identifying acute kidney injury subphenotypes using an outcome-driven deep-learning approach. Y Tan, J Huang, J Zhuang, H Huang, S Jiang, M She, M Tian, Y Liu, X Yu. Journal of Biomedical Informatics 143, 104393. , 2023. 2023. Generalizable deep clustering based on Bi-LSTM with applications to sepsis and acute kidney disease populations.
