Risultati di ricerca
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 .
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. 69. 2019. Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization.
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 ….
Jiahui Huang. The Hong Kong ... J Huang, W Fu, S Niu, X Zhao, Y Bi, Z Qiao. s Note: MDPI stays neutral with regard to jurisdictional claims in published ...
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization | Jiahui Huang. Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu. T-PAMI 2022. Paper Code Jittor.
- Jiahui Huang
25 nov 2021 · Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu. We present SyNoRiM, a novel way to jointly register multiple non-rigid shapes by synchronizing the maps relating learned functions defined on the point clouds.
Jiahui Huang received the BS degree in computer science and technology from Tsinghua University, in 2018. He is currently working toward the PhD degree with the Departemnt of Computer Science and Technology, Tsinghua University. His research interests include computer vision, robotics and computer graphics.
