Computer Vision
40,842 papers (88 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
4
2
4
53
40
41
60
61
64
71
868
565
967
683
855
1,191
2,400
2,565
3,796
3,381
5,307
5,961
7,515
4,388
'5
'10
'15
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'25
Papers (including subtopics)
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
NeurIPS 2009
Nonparametric Bayesian Texture Learning and Synthesis
NeurIPS 2009
Occlusive Components Analysis
NeurIPS 2009
On Invariance in Hierarchical Models
NeurIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
NeurIPS 2009
Region-based Segmentation and Object Detection
NeurIPS 2009
Regularized Distance Metric Learning:Theory and Algorithm
NeurIPS 2009
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
NeurIPS 2009
Segmenting Scenes by Matching Image Composites
NeurIPS 2009
Semi-Supervised Learning in Gigantic Image Collections
NeurIPS 2009
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
NeurIPS 2009
Sparse and Locally Constant Gaussian Graphical Models
NeurIPS 2009
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
NeurIPS 2009
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
NeurIPS 2009
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
NeurIPS 2009
Structural inference affects depth perception in the context of potential occlusion
NeurIPS 2009
Structured output regression for detection with partial truncation
NeurIPS 2009
The Ordered Residual Kernel for Robust Motion Subspace Clustering
NeurIPS 2009
The 'tree-dependent components' of natural scenes are edge filters
NeurIPS 2009
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
NeurIPS 2009
Unsupervised feature learning for audio classification using convolutional deep belief networks
NeurIPS 2009
White Functionals for Anomaly Detection in Dynamical Systems
NeurIPS 2009
Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation
NeurIPS 2009
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context
NeurIPS 2008
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
NeurIPS 2008