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Computer Vision

40,842 papers (88 classified directly here)

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Papers (including subtopics)

Recognizing Activities by Attribute Dynamics NeurIPS 2012 Searching for objects driven by context NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video NeurIPS 2012 Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012 Spatial Locality-Aware Sparse Coding and Dictionary Learning ACML 2012 Timely Object Recognition NeurIPS 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NeurIPS 2012 Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination NeurIPS 2012 What's in the Bag: A Distributed Approach to 3D Shape Duplication with Modular Robots RSS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 θ-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding NeurIPS 2011 Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011 A Convergence Analysis of Log-Linear Training NeurIPS 2011 A Denoising View of Matrix Completion NeurIPS 2011 An ideal observer model for identifying the reference frame of objects NeurIPS 2011 A Spike and Slab Restricted Boltzmann Machine AISTATS 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Cross-Domain Object Matching with Model Selection AISTATS 2011 Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011 Efficient and Effective Visual Codebook Generation Using Additive Kernels JMLR 2011 Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons NeurIPS 2011 Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NeurIPS 2011