Weiyao Wang

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Matt FeiszliFacebook AI ResearchVerified email at fb.com
Du TranGoogleVerified email at google.com
Heng WangNvidiaVerified email at fb.com
Pierre GleizeSoftware Engineer, MetaVerified email at meta.com
Mike Z. SHOUNational U. of Singapore; Facebook AI; Columbia UniversityVerified email at columbia.edu
Deepti GhadiyaramAsst. Professor at BU // Member of Technical Staff, RunwayVerified email at runwayml.com
Maciej A. MazurowskiAssociate Professor of Radiology, Computer Science, Electrical & Comp. Eng., and Biostat.& Bioinf.Verified email at duke.edu
Jitendra MALIKProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Hao TangFacebook AI Research; University of California IrvineVerified email at meta.com
Zhize LiAssistant Professor, Singapore Management UniversityVerified email at smu.edu.sg
Rong GeDuke UniversityVerified email at cs.duke.edu
Xiang WangMeta, Duke UniversityVerified email at meta.com
Kevin J LiangFundamental AI Research (FAIR) at MetaVerified email at meta.com
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Tarun KalluriUniversity of California San DiegoVerified email at eng.ucsd.edu
Lorenzo TorresaniMeta, Fundamental AI Research (FAIR)Verified email at meta.com
Manmohan ChandrakerProfessor, University of California, San DiegoVerified email at ucsd.edu
Xingyu ChenFacebook AIVerified email at fb.com
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Anh ThaiGeorgia Institute of TechnologyVerified email at gatech.edu

Weiyao Wang

FAIR, Duke University

Verified email at fb.com - Homepage

Deep Learning Computer Vision Machine Learning Optimization Error Correcting Codes


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
What makes training multi-modal classification networks hard? W Wang, D Tran, M Feiszli Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	515	2020
Unidentified video objects: A benchmark for dense, open-world segmentation W Wang, M Feiszli, H Wang, D Tran Proceedings of the IEEE/CVF international conference on computer vision …, 2021	125	2021
Generic event boundary detection: A benchmark for event segmentation MZ Shou, SW Lei, W Wang, D Ghadiyaram, M Feiszli Proceedings of the IEEE/CVF international conference on computer vision …, 2021	79	2021
A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models A Saha, MR Harowicz, W Wang, MA Mazurowski Journal of cancer research and clinical oncology 144, 799-807, 2018	51	2018
Open-world instance segmentation: Exploiting pseudo ground truth from learned pairwise affinity W Wang, M Feiszli, H Wang, J Malik, D Tran Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	50	2022
Silk: Simple learned keypoints P Gleize, W Wang, M Feiszli Proceedings of the IEEE/CVF international conference on computer vision …, 2023	39	2023
Stabilized SVRG: Simple variance reduction for nonconvex optimization R Ge, Z Li, W Wang, X Wang Conference on learning theory, 1394-1448, 2019	35	2019
Egotracks: A long-term egocentric visual object tracking dataset H Tang, KJ Liang, K Grauman, M Feiszli, W Wang Advances in Neural Information Processing Systems 36, 2024	9	2024
Open-world instance segmentation: Top-down learning with bottom-up supervision T Kalluri, W Wang, H Wang, M Chandraker, L Torresani, D Tran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	5	2024
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation H Tang, W Wang, P Gleize, M Feiszli arXiv preprint arXiv:2408.09042, 2024		2024
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences A Thai, W Wang, H Tang, S Stojanov, M Feiszli, JM Rehg arXiv preprint arXiv:2407.09648, 2024		2024
Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations X Chen, W Wang, H Tang, M Feiszli Advances in Neural Information Processing Systems 36, 2024		2024
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization W Wang, P Gleize, H Tang, X Chen, KJ Liang, M Feiszli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024		2024
Understanding Operator Reed-Muller Codes Through the Weyl Transform W Wang Department of Mathematics degree of Duke University Department of …, 2018		2018
SVRG Escapes Saddle Points W Wang Department of Computer Science degree of Duke University Department of …, 2018		2018

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