Combining detection and tracking for human pose estimation in videos M Wang, J Tighe, D Modolo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 123 | 2020 |
Semi-supervised vision transformers at scale Z Cai, A Ravichandran, P Favaro, M Wang, D Modolo, R Bhotika, Z Tu, ... Advances in Neural Information Processing Systems 35, 25697-25710, 2022 | 40 | 2022 |
Application of multi-object tracking with Siamese track-RCNN to the human in events dataset B Shuai, A Berneshawi, M Wang, C Liu, D Modolo, X Li, J Tighe Proceedings of the 28th ACM international conference on multimedia, 4625-4629, 2020 | 12 | 2020 |
ScaleDet: A scalable multi-dataset object detector Y Chen, M Wang, A Mittal, Z Xu, P Favaro, J Tighe, D Modolo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
Multi-object tracking with hallucinated and unlabeled videos D McKee, B Shuai, A Berneshawi, M Wang, D Modolo, S Lazebnik, ... arXiv preprint arXiv:2108.08836, 2021 | 6 | 2021 |
Challenges of zero-shot recognition with vision-language models: Granularity and correctness Z Xu, Y Zhu, T Deng, A Mittal, Y Chen, M Wang, P Favaro, J Tighe, ... arXiv preprint arXiv:2306.16048, 2023 | 4 | 2023 |
Benchmarking zero-shot recognition with vision-language models: Challenges on granularity and specificity Z Xu, Y Zhu, T Deng, A Mittal, Y Chen, M Wang, P Favaro, J Tighe, ... | 1 | 2024 |
Pose-based personal equipment detection JP Tighe, M Wang, H Wu, M Wang US Patent 11,501,573, 2022 | 1 | 2022 |
Denoising and selecting pseudo-heatmaps for semi-supervised human pose estimation Z Yu, M Wang, Y Chen, P Favaro, D Modolo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes A Lemkhenter, M Wang, L Zancato, G Swaminathan, P Favaro, D Modolo arXiv preprint arXiv:2311.01646, 2023 | | 2023 |