
Robust Trust Region for Weakly Supervised Segmentation
Acquisition of training data for the standard semantic segmentation is e...
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Confluent Vessel Trees with Accurate Bifurcations
We are interested in unsupervised reconstruction of complex nearcapilla...
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RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
We propose a novel efficient and lightweight model for human pose estima...
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Image Segmentation Using Deep Learning: A Survey
Image segmentation is a key topic in image processing and computer visio...
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Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Many automated processes such as autopiloting rely on a good semantic s...
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Divergence Prior and Vesseltree Reconstruction
We propose a new geometric regularization principle for reconstructing v...
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ADM for grid CRF loss in CNN segmentation
Variants of gradient descent (GD) dominate CNN loss minimization in comp...
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ConstrainedCNN losses forweakly supervised segmentation
Weak supervision, e.g., in the form of partial labels or image tags, is ...
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Normalized Cut Loss for Weaklysupervised CNN Segmentation
Most recent semantic segmentation methods train deep convolutional neura...
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On Regularized Losses for Weaklysupervised CNN Segmentation
Minimization of regularized losses is a principled approach to weak supe...
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Kernel clustering: density biases and solutions
Kernel methods are popular in clustering due to their generality and dis...
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Efficient optimization for Hierarchicallystructured Interacting Segments (HINTS)
We propose an effective optimization algorithm for a general hierarchica...
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Aexpansion for multiple "hedgehog" shapes
Overlapping colors and cluttered or weak edges are common segmentation p...
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Kernel Cuts: MRF meets Kernel & Spectral Clustering
We propose a new segmentation model combining common regularization ener...
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Thin Structure Estimation with Curvature Regularization
Many applications in vision require estimation of thin structures such a...
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Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions
Many standard optimization methods for segmentation and reconstruction c...
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Joint Energybased Detection and Classificationon of Multilingual Text Lines
This paper proposes a new hierarchical MDLbased model for a joint detec...
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An Experimental Comparison of Trust Region and Level Sets
Highorder (nonlinear) functionals have become very popular in segmenta...
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Submodularization for Quadratic PseudoBoolean Optimization
Many computer vision problems require optimization of binary nonsubmodu...
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Efficient Regularization of Squared Curvature
Curvature has received increased attention as an important alternative t...
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Yuri Boykov
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Professor of Computer Science at University of Western Ontario