Dmitrii Marin | DeepAI

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∙ 10/08/2021

Token Pooling in Vision Transformers

Despite the recent success in many applications, the high computational ...

14 Dmitrii Marin, et al. ∙

∙ 04/05/2021

Robust Trust Region for Weakly Supervised Segmentation

Acquisition of training data for the standard semantic segmentation is e...

0 Dmitrii Marin, et al. ∙

∙ 03/26/2021

Confluent Vessel Trees with Accurate Bifurcations

We are interested in unsupervised reconstruction of complex near-capilla...

0 Zhongwen Zhang, et al. ∙

∙ 07/16/2019

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries

Many automated processes such as auto-piloting rely on a good semantic s...

1 Dmitrii Marin, et al. ∙

∙ 11/24/2018

Divergence Prior and Vessel-tree Reconstruction

We propose a new geometric regularization principle for reconstructing v...

0 Zhongwen Zhang, et al. ∙

∙ 09/07/2018

ADM for grid CRF loss in CNN segmentation

Variants of gradient descent (GD) dominate CNN loss minimization in comp...

0 Dmitrii Marin, et al. ∙

∙ 05/16/2017

Kernel clustering: density biases and solutions

Kernel methods are popular in clustering due to their generality and dis...

0 Dmitrii Marin, et al. ∙

∙ 06/24/2015

Kernel Cuts: MRF meets Kernel & Spectral Clustering

We propose a new segmentation model combining common regularization ener...

0 Meng Tang, et al. ∙

∙ 06/15/2015

Thin Structure Estimation with Curvature Regularization

Many applications in vision require estimation of thin structures such a...

0 Dmitrii Marin, et al. ∙

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