Ziyan Wang

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Jessica HodginsProfessor of Computer Science and Robotics, Carnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu
Michael ZollhoeferDirector, Research Scientist, Reality Labs Research, MetaEmail yang diverifikasi di meta.com
Giljoo NamMetaEmail yang diverifikasi di meta.com
Stephen LombardiGoogleEmail yang diverifikasi di google.com
cewu luProfessor of Shanghai Jiao Tong UniversityEmail yang diverifikasi di cs.stanford.edu
Timur BagautdinovFacebook Reality Labs ResearchEmail yang diverifikasi di fb.com
Tomas SimonPh.D. student, The Robotics Institute, Carnegie Mellon UniversityEmail yang diverifikasi di cmu.edu
Samuel SchulterAmazon AGIEmail yang diverifikasi di amazon.com
Buyu LiuZhejiang UniversityEmail yang diverifikasi di zju.edu.cn
Shunsuke SaitoResearch Scientist, Meta Codec Avatars LabEmail yang diverifikasi di fb.com
Chenglei WuMeta Reality Labs ResearchEmail yang diverifikasi di fb.com
Christoph LassnerWorld LabsEmail yang diverifikasi di christophlassner.de
Tuur StuyckFacebook Reality LabsEmail yang diverifikasi di fb.com
Rui ZhuUniversity of California San DiegoEmail yang diverifikasi di eng.ucsd.edu
Simon LuceyDirector, Australian Institute for Machine Learning (AIML), University of AdelaideEmail yang diverifikasi di adelaide.edu
Jiwen Lu (鲁继文)Professor, Department of Automation, Tsinghua UniversityEmail yang diverifikasi di tsinghua.edu.cn
Katerina FragkiadakiAssociate Professor, Carnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu
Radu Alexandru RosuUniversity of BonnEmail yang diverifikasi di ais.uni-bonn.de
Sven BehnkeProfessor for Autonomous Intelligent Systems, Computer Science Institute, University of BonnEmail yang diverifikasi di cs.uni-bonn.de

Ikuti

Ziyan Wang

Research Scientist, Reality Labs Research, Meta

Email yang diverifikasi di meta.com - Beranda

Computer Vision Graphics Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Virtual to real reinforcement learning for autonomous driving X Pan, Y You, Z Wang, C Lu arXiv preprint arXiv:1704.03952, 2017	447	2017
Learning compositional radiance fields of dynamic human heads Z Wang, T Bagautdinov, S Lombardi, T Simon, J Saragih, J Hodgins, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	99	2021
A parametric top-view representation of complex road scenes Z Wang, B Liu, S Schulter, M Chandraker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	52	2019
Correlated and individual multi-modal deep learning for RGB-D object recognition Z Wang, J Lu, R Lin, J Feng arXiv preprint arXiv:1604.01655, 2016	44	2016
Geometry-aware recurrent neural networks for active visual recognition R Cheng, Z Wang, K Fragkiadaki Advances in Neural Information Processing Systems 31, 2018	41	2018
Neural strands: Learning hair geometry and appearance from multi-view images RA Rosu, S Saito, Z Wang, C Wu, S Behnke, G Nam European Conference on Computer Vision, 73-89, 2022	40	2022
Object-centric photometric bundle adjustment with deep shape prior R Zhu, C Wang, CH Lin, Z Wang, S Lucey 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 894-902, 2018	21	2018
Hvh: Learning a hybrid neural volumetric representation for dynamic hair performance capture Z Wang, G Nam, T Stuyck, S Lombardi, M Zollhöfer, J Hodgins, C Lassner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	19	2022
Ct2hair: High-fidelity 3d hair modeling using computed tomography Y Shen, S Saito, Z Wang, O Maury, C Wu, J Hodgins, Y Zheng, G Nam ACM Transactions on Graphics (TOG) 42 (4), 1-13, 2023	18	2023
Neuwigs: A neural dynamic model for volumetric hair capture and animation Z Wang, G Nam, T Stuyck, S Lombardi, C Cao, J Saragih, M Zollhöfer, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	16	2023
A dataset for high-level 3d scene understanding of complex road scenes in the top-view Z Wang, B Liu, S Schulter, M Chandraker The IEEE Conference on Computer Vision and Pattern Recognition (CVPR …, 2019	7	2019
Semantic photometric bundle adjustment on natural sequences R Zhu, C Wang, CH Lin, Z Wang, S Lucey arXiv preprint arXiv:1712.00110, 2017	6	2017
ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D image M Pesavento, Y Xu, N Sarafianos, R Maier, Z Wang, CH Yao, M Volino, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	5	2024
A Local Appearance Model for Volumetric Capture of Diverse Hairstyles Z Wang, G Nam, A Bozic, C Cao, J Saragih, M Zollhöfer, J Hodgins 2024 International Conference on 3D Vision (3DV), 190-200, 2024	1	2024
Learning Compositional Radiance Fields of Dynamic Human Heads–Supplemental Document– Z Wang, T Bagautdinov, S Lombardi, T Simon, J Saragih, J Hodgins, ...
A Parametric Top-View Representation of Complex Road Scenes Supplemental Material Z Wang, B Liu, S Schulter, M Chandraker

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