| Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 761 | 2020 |
| Searching for efficient multi-scale architectures for dense image prediction LC Chen, MD Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ... NeurIPS 2018, 2018 | 496 | 2018 |
| Spatially adaptive computation time for residual networks M Figurnov, MD Collins, Y Zhu, L Zhang, J Huang, D Vetrov, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 413 | 2017 |
| Deeperlab: Single-shot image parser TJ Yang, MD Collins, Y Zhu, JJ Hwang, T Liu, X Zhang, V Sze, ... arXiv preprint arXiv:1902.05093, 2019 | 220 | 2019 |
| Memory bounded deep convolutional networks MD Collins, P Kohli arXiv preprint arXiv:1412.1442, 2014 | 218 | 2014 |
| Naive-student: Leveraging semi-supervised learning in video sequences for urban scene segmentation LC Chen, RG Lopes, B Cheng, MD Collins, ED Cubuk, B Zoph, H Adam, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 212 | 2020 |
| Segsort: Segmentation by discriminative sorting of segments JJ Hwang, SX Yu, J Shi, MD Collins, TJ Yang, X Zhang, LC Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 149 | 2019 |
| Efficient non-greedy optimization of decision trees M Norouzi, MD Collins, M Johnson, DJ Fleet, P Kohli NeurIPS 2015, 2015 | 139 | 2015 |
| Random walks based multi-image segmentation: Quasiconvexity results and gpu-based solutions MD Collins, J Xu, L Grady, V Singh 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1656-1663, 2012 | 129 | 2012 |
| Cmt-deeplab: Clustering mask transformers for panoptic segmentation Q Yu, H Wang, D Kim, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 101 | 2022 |
| Step: Segmenting and tracking every pixel M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, ... arXiv preprint arXiv:2102.11859, 2021 | 83 | 2021 |
| Multivariate general linear models (MGLM) on Riemannian manifolds with applications to statistical analysis of diffusion weighted images HJ Kim, N Adluru, MD Collins, MK Chung, BB Bendlin, SC Johnson, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 75 | 2014 |
| Tensorize, factorize and regularize: Robust visual relationship learning SJ Hwang, SN Ravi, Z Tao, HJ Kim, MD Collins, V Singh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 72 | 2018 |
| Deeplab2: A tensorflow library for deep labeling M Weber, H Wang, S Qiao, J Xie, MD Collins, Y Zhu, L Yuan, D Kim, Q Yu, ... arXiv preprint arXiv:2106.09748, 2021 | 63 | 2021 |
| k-means Mask Transformer Q Yu, H Wang, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, LC Chen European Conference on Computer Vision, 288-307, 2022 | 60 | 2022 |
| Spectral clustering with a convex regularizer on millions of images MD Collins, J Liu, J Xu, L Mukherjee, V Singh European conference on computer vision, 282-298, 2014 | 49 | 2014 |
| Analyzing the subspace structure of related images: Concurrent segmentation of image sets L Mukherjee, V Singh, J Xu, MD Collins European Conference on Computer Vision, 128-142, 2012 | 47 | 2012 |
| Co2 forest: Improved random forest by continuous optimization of oblique splits M Norouzi, MD Collins, DJ Fleet, P Kohli arXiv preprint arXiv:1506.06155, 2015 | 33 | 2015 |
| Learning to generate image embeddings with user-level differential privacy Z Xu, M Collins, Y Wang, L Panait, S Oh, S Augenstein, T Liu, F Schroff, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 23 | 2023 |
| A deterministic nonsmooth frank wolfe algorithm with coreset guarantees SN Ravi, MD Collins, V Singh Informs Journal on Optimization 1 (2), 120-142, 2019 | 23 | 2019 |