Object Classification
158 papers
Papers per year
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4
1
4
2
4
3
11
11
10
9
3
8
8
20
11
10
14
14
8
1
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'15
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Papers
Understanding Objects in Detail with Fine-Grained Attributes
CVPR 2014
Zero-shot recognition with unreliable attributes
NeurIPS 2014
Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop
CVPR 2013
Constrained Clustering and Its Application to Face Clustering in Videos
CVPR 2013
Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification
CVPR 2013
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
NeurIPS 2013
Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection
CVPR 2013
Learning Class-to-Image Distance with Object Matchings
CVPR 2013
Learning Collections of Part Models for Object Recognition
CVPR 2013
Light Field Distortion Feature for Transparent Object Recognition
CVPR 2013
POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation
CVPR 2013
Subcategory-Aware Object Classification
CVPR 2013
Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain
CVPR 2013
Convolutional-Recursive Deep Learning for 3D Object Classification
NeurIPS 2012
Semantic Kernel Forests from Multiple Taxonomies
NeurIPS 2012
Unsupervised Template Learning for Fine-Grained Object Recognition
NeurIPS 2012
Boosting with Maximum Adaptive Sampling
NeurIPS 2011
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
NeurIPS 2011
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
NeurIPS 2011
PiCoDes: Learning a Compact Code for Novel-Category Recognition
NeurIPS 2011
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
NeurIPS 2010
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
NeurIPS 2010
3D Object Recognition with Deep Belief Nets
NeurIPS 2009
An Additive Latent Feature Model for Transparent Object Recognition
NeurIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
NeurIPS 2009