Computer Vision

Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks CVPR 2014 Learning an Image-based Motion Context for Multiple People Tracking CVPR 2014 Learning Articulated Motions From Visual Demonstration RSS 2014 Learning-Based Atlas Selection for Multiple-Atlas Segmentation CVPR 2014 Learning-by-Synthesis for Appearance-based 3D Gaze Estimation CVPR 2014 Learning Deep Features for Scene Recognition using Places Database NeurIPS 2014 Learning Everything about Anything: Webly-Supervised Visual Concept Learning CVPR 2014 Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition CVPR 2014 Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014 Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm NeurIPS 2014 Learning Generative Models with Visual Attention NeurIPS 2014 Learning Important Spatial Pooling Regions for Scene Classification CVPR 2014 Learning Mid-level Filters for Person Re-identification CVPR 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization NeurIPS 2014 Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014 Learning Optimal Seeds for Diffusion-based Salient Object Detection CVPR 2014 Learning Receptive Fields for Pooling from Tensors of Feature Response CVPR 2014 Learning Scalable Discriminative Dictionary with Sample Relatedness CVPR 2014 Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching CVPR 2014 Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014 Learning to Group Objects CVPR 2014 Learning to Recognize Human Activities from Soft Labeled Data RSS 2014 Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014 Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras CVPR 2014 LOAM: Lidar Odometry and Mapping in Real-time RSS 2014