visual recognition

Information Bottleneck Learning Using Privileged Information for Visual Recognition CVPR 2016 Mining Discriminative Triplets of Patches for Fine-Grained Classification CVPR 2016 Multivariate Regression on the Grassmannian for Predicting Novel Domains CVPR 2016 Synthesized Classifiers for Zero-Shot Learning CVPR 2016 When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks CVPR 2016 When VLAD Met Hilbert CVPR 2016 Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances CVPR 2015 A Novel Locally Linear KNN Model for Visual Recognition CVPR 2015 Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition ICCV 2015 Multi-View Domain Generalization for Visual Recognition ICCV 2015 One Shot Learning via Compositions of Meaningful Patches ICCV 2015 Per-Sample Kernel Adaptation for Visual Recognition and Grouping ICCV 2015 Salient Object Subitizing CVPR 2015 Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition CVPR 2015 Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach CVPR 2015 Anytime Recognition of Objects and Scenes CVPR 2014 Ask the Image: Supervised Pooling to Preserve Feature Locality CVPR 2014 Birdsnap: Large-scale Fine-grained Visual Categorization of Birds CVPR 2014 Convolutional Kernel Networks NeurIPS 2014 Learning Everything about Anything: Webly-Supervised Visual Concept Learning CVPR 2014 Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 Designing Category-Level Attributes for Discriminative Visual Recognition CVPR 2013 Direct Modeling of Complex Invariances for Visual Object Features ICML 2013 From Large Scale Image Categorization to Entry-Level Categories ICCV 2013