Dmitrii Marin

Orcid: 0000-0002-4799-3412

According to our database1, Dmitrii Marin authored at least 16 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Token Pooling in Vision Transformers for Image Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2021
Higher-order Losses and Optimization for Low-level and Deep Segmentation.
PhD thesis, 2021

Token Pooling in Vision Transformers.
CoRR, 2021

Robust Trust Region for Weakly Supervised Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Confluent Vessel Trees With Accurate Bifurcations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Kernel Clustering: Density Biases and Solutions.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Kernel Cuts: Kernel and Spectral Clustering Meet Regularization.
Int. J. Comput. Vis., 2019

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Divergence Prior and Vessel-Tree Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Beyond Gradient Descent for Regularized Segmentation Losses.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Divergence Prior and Vessel-tree Reconstruction.
CoRR, 2018

ADM for grid CRF loss in CNN segmentation.
CoRR, 2018

2016
Normalized Cut Meets MRF.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Thin Structure Estimation with Curvature Regularization.
CoRR, 2015

Secrets of GrabCut and Kernel K-Means.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Thin Structure Estimation with Curvature Regularization.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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