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Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective

Computer Vision on GPUs

Belief Propagation

Component Analysis

Articulated Model Fitting

Spectral Methods for Computer Vision

Probabilistic and Biologically Inspired Feature Representations

Covariances in Computer Vision and Machine Learning

A Guide to Convolutional Neural Networks for Computer Vision

Advanced Methods for Face-based Biometrics

Optimization in Computer Vision

Covariances in Computer Vision and Machine Learning

Activity Understanding

Maximum Consensus Problem: Recent Algorithmic Advances : #11

The maximum consensus problem : recent algorithmic advances

Computational texture and patterns : from textons to deep learning

Computational Texture and Patterns: From Textons to Deep Learning

A Guide to Convolutional Neural Networks for Computer Vision

Probabilistic and Biologically Inspired Feature Representations

Elastic Shape Analysis of Three-Dimensional Objects

Probabilistic and biologically inspired feature representations

Extreme Value Theory-Based Methods for Visual Recognition : #10

Guide to Convolutional Neural Networks for Computer Vision

Covariances in Computer Vision and Machine Learning

Computational Texture and Patterns : From Textons to Deep Learning

Elastic shape analysis of three-dimensional objects

Extreme value theory-based methods for visual recognition

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