Yuri Boykov

University of Waterloo — Canada

Computer Science · Physical Sciences

41h-index24.4kcitations135works1.02yr avg
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Research Topics

Medical Image Segmentation Techniques(62), Advanced Neural Network Applications(40), Advanced Image and Video Retrieval Techniques(38), Robotics and Sensor-Based Localization(17), Digital Image Processing Techniques(15)

Publications135 total

Image Segmentation Using Deep Learning
Series in computer vision·2025· 3 cited
Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation
arXiv (Cornell University)·2025Open Access
Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation
2025
Sparse Non-Local CRF With Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence·2024· 1 cited
Collision Cross-entropy for Soft Class Labels and Deep Clustering
arXiv (Cornell University)·2023Open Access
Discriminative Entropy Clustering and its Relation to K-means and SVM
arXiv (Cornell University)·2023Open Access
Sparse Non-local CRF
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 2 cited
Robust Trust Region for Weakly Supervised Segmentation
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021
Confluent Vessel Trees with Accurate Bifurcations
2021· 8 cited
Robust Trust Region for Weakly Supervised Segmentation
arXiv (Cornell University)·2021Open Access
Confluent Vessel Trees with Accurate Bifurcations
arXiv (Cornell University)·2021Open Access
Image Segmentation Using Deep Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence·2021· 143 citedOpen Access
Interactive Segmentation
2021· 1 cited
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
arXiv (Cornell University)·2020· 9 citedOpen Access
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
2019· 99 cited
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
arXiv (Cornell University)·2019· 13 citedOpen Access
Divergence Prior and Vessel-Tree Reconstruction
2019Open Access
Beyond Gradient Descent for Regularized Segmentation Losses
2019· 31 cited
Constrained-CNN losses for weakly supervised segmentation
Medical Image Analysis·2019· 274 citedOpen Access
Kernel Cuts: Kernel and Spectral Clustering Meet Regularization
International Journal of Computer Vision·2018· 39 cited
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Frequent Co-authors

Olga Veksler(11), Meng Tang(9), Andrew Delong(7), Ismail Ben Ayed(7), Vladimir Kolmogorov(5), Lena Gorelick(5), Dmitrii Marin(5), Ramin Zabih(4), Marie‐Pierre Jolly(3), Hossam Isack(3), Abdelaziz Djelouah(3), Federico Perazzi(3), Christopher Schroers(3), Jing Yuan(3), Egil Bae(3), Xue‐Cheng Tai(3), Gareth Funka-Lea(2), Anton Osokin(2), Victor Lempitsky(2), Henry Rusinek(2)