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10/08/2021
Token Pooling in Vision Transformers
Despite the recent success in many applications, the high computational ...
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04/05/2021
Robust Trust Region for Weakly Supervised Segmentation
Acquisition of training data for the standard semantic segmentation is e...
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03/26/2021
Confluent Vessel Trees with Accurate Bifurcations
We are interested in unsupervised reconstruction of complex near-capilla...
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07/16/2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Many automated processes such as auto-piloting rely on a good semantic s...
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11/24/2018
Divergence Prior and Vessel-tree Reconstruction
We propose a new geometric regularization principle for reconstructing v...
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09/07/2018
ADM for grid CRF loss in CNN segmentation
Variants of gradient descent (GD) dominate CNN loss minimization in comp...
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05/16/2017
Kernel clustering: density biases and solutions
Kernel methods are popular in clustering due to their generality and dis...
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06/24/2015
Kernel Cuts: MRF meets Kernel & Spectral Clustering
We propose a new segmentation model combining common regularization ener...
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06/15/2015