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 | 466 | 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 | 114 | 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 | 73 | 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 | 43 | 2022 |
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 |
Silk: Simple learned keypoints P Gleize, W Wang, M Feiszli Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 28 | 2023 |
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 | 8 | 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 | 4 | 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 |