{ "item_title" : "Computer Vision -- Eccv 2014", "item_author" : [" David Fleet", "Tomas Pajdla", "Bernt Schiele "], "item_description" : "Video Registration to SfM Models.- Soft Cost Aggregation with Multi-resolution Fusion.- Inverse Kernels for Fast Spatial Deconvolution.- Deep Network Cascade for Image Super-resolution.- Spectral Edge Image Fusion: Theory and Applications.- Spatio-chromatic Opponent Features.- Modeling Perceptual Color Differences by Local Metric Learning.- Online Graph-Based Tracking.- Fast Visual Tracking via Dense Spatio-temporal Context Learning.- Extended Lucas-Kanade Tracking.- Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations.- Generalized Background Subtraction Using Superpixels with Label Integrated Motion Estimation.- Spectra Estimation of Fluorescent and Reflective Scenes by Using Ordinary Illuminants.- Interreflection Removal Using Fluorescence.- Intrinsic Face Image Decomposition with Human Face Priors.- Recovering Scene Geometry under Wavy Fluid via Distortion and Defocus Analysis.- Human Detection Using Learned Part Alphabet and Pose Dictionary.- SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection.- Detecting Snap Points in Egocentric Video with a Web Photo Prior.- Towards Unified Object Detection and Semantic Segmentation.- Foreground Consistent Human Pose Estimation Using Branch and Bound.- Human Pose Estimation with Fields of Parts.-Unsupervised Video Adaptation for Parsing Human Motion.- Training Object Class Detectors from Eye Tracking Data.- Symmetric Objects.- Edge Boxes: Locating Object Proposals from Edges.- Training Deformable Object Models for Human Detection Based on Alignment and Clustering.- Predicting Actions from Static Scenes.- Exploiting Privileged Information from Web Data for Image Categorization.- Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling.- Discriminatively Trained Dense Surface Normal Estimation.- Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects Classification.- Learning Where to Classify in Multi-view Semantic Segmentation.- Semantics: A Medium-Level Model for Real-Time Semantic Scene Understanding.- Sparse Dictionaries for Semantic Segmentation.- Video Action Detection with Relational Dynamic-Poselets.- Action Recognition with Stacked Fisher Vectors.- A Discriminative Model with Multiple Temporal Scales for Action Prediction.- Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions.- Weakly Supervised Action Labeling in Videos under Ordering Constraints.- Active Random Forests: An Application to Autonomous Unfolding of Clothes.- Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects.- Convexity Shape Prior for Segmentation.- Pseudo-bound Optimization for Binary Energies.- A Closer Look at Context: From Coxels to the Contextual Emergence of Object Saliency.- Geodesic Object Proposals.- Microsoft COCO: Common Objects in Context.- Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation.- Robust Bundle Adjustment Revisited.- Accurate Intrinsic Calibration of Depth Camera with Cuboids.- Statistical Pose Averaging with Non-isotropic and Incomplete Relative Measurements.- A Pot of Gold: Rainbows as a Calibration Cue.- Let There Be ColorLarge-Scale Texturing of 3D Reconstructions.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/910/601/3319106015_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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