| Efficient segmentation: Learning downsampling near semantic boundaries D Marin, Z He, P Vajda, P Chatterjee, S Tsai, F Yang, Y Boykov Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 78 | 2019 |
| Secrets of grabcut and kernel k-means M Tang, I Ben Ayed, D Marin, Y Boykov Proceedings of the IEEE international conference on computer vision, 1555-1563, 2015 | 45 | 2015 |
| Kernel clustering: Density biases and solutions D Marin, M Tang, IB Ayed, Y Boykov IEEE transactions on pattern analysis and machine intelligence 41 (1), 136-147, 2017 | 44 | 2017 |
| Token pooling in vision transformers D Marin, JHR Chang, A Ranjan, A Prabhu, M Rastegari, O Tuzel arXiv preprint arXiv:2110.03860, 2021 | 43* | 2021 |
| Kernel Cuts: Kernel and Spectral Clustering Meet Regularization M Tang, D Marin, I Ben Ayed, Y Boykov International Journal of Computer Vision 127, 477-511, 2019 | 42* | 2019 |
| Beyond gradient descent for regularized segmentation losses D Marin, M Tang, IB Ayed, Y Boykov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 32 | 2019 |
| Normalized cut meets MRF M Tang, D Marin, IB Ayed, Y Boykov Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 31 | 2016 |
| Thin structure estimation with curvature regularization D Marin, Y Zhong, M Drangova, Y Boykov Proceedings of the IEEE International Conference on Computer Vision, 397-405, 2015 | 15 | 2015 |
| Confluent vessel trees with accurate bifurcations Z Zhang, D Marin, M Drangova, Y Boykov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| Divergence prior and vessel-tree reconstruction Z Zhang, D Marin, E Chesakov, MM Maza, M Drangova, Y Boykov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 7 | 2019 |
| Robust trust region for weakly supervised segmentation D Marin, Y Boykov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Content-adaptive non-uniform image downsampling using predictive auxiliary convolutional neural network Z He, P Vajda, P Chatterjee, S Tsai, D Marin US Patent 11,170,470, 2021 | 1 | 2021 |
| Higher-order Losses and Optimization for Low-level and Deep Segmentation D Marin University of Waterloo, 2021 | | 2021 |
| ADM for grid CRF loss in CNN segmentation D Marin, M Tang, IB Ayed, Y Boykov CoRR, 2018 | | 2018 |
| WACV 2023 D Marin, JHR Chang, A Ranjan, A Prabhu, M Rastegari, O Tuzel, G Sharir, ... | | |
| Confluent Vessel Trees with Accurate Bifurcations Supplementary Materials Z Zhang, D Marin, M Drangova, Y Boykov | | |
Yuri BoykovProfessor, Computer Science, University of WaterlooAdresse e-mail validée de uwaterloo.ca
