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Weiyao Wang
Weiyao Wang
FAIR, Duke University
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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
4162020
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
1042021
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
672021
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
502018
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
372022
Stabilized SVRG: Simple variance reduction for nonconvex optimization
R Ge, Z Li, W Wang, X Wang
Conference on learning theory, 1394-1448, 2019
342019
SiLK: Simple Learned Keypoints
P Gleize, W Wang, M Feiszli
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
192023
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
72024
Open-world instance segmentation: Top-down learning with bottom-up supervision
T Kalluri, W Wang, H Wang, M Chandraker, L Torresani, D Tran
32023
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
arXiv preprint arXiv:2401.08937, 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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