{ "item_title" : "Computer Vision -- Eccv 2014", "item_author" : [" David Fleet", "Tomas Pajdla", "Bernt Schiele "], "item_description" : "Person Re-Identification Using Kernel-Based Metric Learning Methods.- Saliency in Crowd.- Webpage Saliency.- Deblurring Face Images with Exemplars.- Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution.- Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information.- Affine Subspace Representation for Feature Description.- A Generative Model for the Joint Registration of Multiple Point Sets.- Change Detection in the Presence of Motion Blur and Rolling Shutter Effect.- An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions.- OpenDR: An Approximate Differentiable Renderer.- A Superior Tracking Approach: Building a Strong Tracker through Fusion.- Training-Based Spectral Reconstruction from a Single RGB Image.- On Shape and Material Recovery from Motion.- Intrinsic Image Decomposition Using Structure-Texture Separation and Surface Normals.- Multi-level Adaptive Active Learning for Scene Classification.- Graph Cuts for Supervised Binary Coding.- Planar Structure Matching under Projective Uncertainty for Geolocation.- Active Deformable Part Models Inference.- Simultaneous Detection and Segmentation.- Learning Graphs to Model Visual Objects across Different Depictive Styles.- Analyzing the Performance of Multilayer Neural Networks for Object Recognition.- Learning Rich Features from RGB-D Images for Object Detection and Segmentation.- Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification.- OTC: A Novel Local Descriptor for Scene Classification.- Multi-scale Orderless Pooling of Deep Convolutional Activation Features.- Expanding the Family of Grassmannian Kernels: An Embedding Perspective.- Image Tag Completion by Noisy Matrix Recovery.- ConceptMap: Mining Noisy Web Data for Concept Learning.- Shrinkage Expansion Adaptive Metric Learning.- Salient Montages from Unconstrained Videos.- Action-Reaction: Forecasting the Dynamics of Human Interaction.- Creating Summaries from User Videos.- Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow.- Robust Foreground Detection Using Smoothness and Arbitrariness Constraints.- Video Object Co-segmentation by Regulated Maximum Weight Cliques.- Dense Semi-rigid Scene Flow Estimation from RGBD Images.- Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes.- Joint Object Class Sequencing and Trajectory Triangulation (JOST).- Scene Chronology.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/31/910/583/3319105833_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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