Computer Vision

Learning To Look Up: Realtime Monocular Gaze Correction Using Machine Learning CVPR 2015 Learning to Predict Saliency on Face Images ICCV 2015 Learning to Propose Objects CVPR 2015 Learning to Rank in Person Re-Identification With Metric Ensembles CVPR 2015 Learning to See by Moving ICCV 2015 Learning to Segment Moving Objects in Videos CVPR 2015 Learning to Segment Object Candidates NeurIPS 2015 Learning to Segment Under Various Forms of Weak Supervision CVPR 2015 Learning to Track for Spatio-Temporal Action Localization ICCV 2015 Learning Transferable Features with Deep Adaptation Networks ICML 2015 Learning visual biases from human imagination NeurIPS 2015 Learning Wake-Sleep Recurrent Attention Models NeurIPS 2015 Learning Where to Position Parts in 3D ICCV 2015 Leave-One-Out Kernel Optimization for Shadow Detection ICCV 2015 Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network ICCV 2015 Leveraging Stereo Matching With Learning-Based Confidence Measures CVPR 2015 Light Field From Micro-Baseline Image Pair CVPR 2015 Light Field Layer Matting CVPR 2015 Linearization to Nonlinear Learning for Visual Tracking ICCV 2015 Line Drawing Interpretation in a Multi-View Context CVPR 2015 Line-Sweep: Cross-Ratio For Wide-Baseline Matching and 3D Reconstruction CVPR 2015 LMI-Based 2D-3D Registration: From Uncalibrated Images to Euclidean Scene CVPR 2015 Local High-Order Regularization on Data Manifolds CVPR 2015 Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach ICCV 2015 Local Subspace Collaborative Tracking ICCV 2015