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CVPR2015 Reading List

CVPR2015 Reading List

作者: FinlayLiu | 来源:发表于2015-09-30 09:54 被阅读454次

    Proposal

    Complexity-Adaptive Distance Metric for Object Proposals Generation
    Fast Action Proposals for Human Action Detection and Search
    Improving Object Proposals With Multi-Thresholding Straddling Expansion
    Object Proposal by Multi-Branch Hierarchical Segmentation
    Robust Video Segment Proposals With Painless Occlusion Handling
    Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images
    Unsupervised Object Discovery and Localization in the Wild Part-Based Matching With Bottom-Up Region Proposals

    Segmentation

    Causal Video Object Segmentation From Persistence of Occlusions
    Classifier Based Graph Construction for Video Segmentation
    Convolutional Feature Masking for Joint Object and Stuff Segmentation
    Deep Filter Banks for Texture Recognition and Segmentation
    Deep Hierarchical Parsing for Semantic Segmentation
    Feedforward Semantic Segmentation With Zoom-Out Features
    Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval
    Fully Convolutional Networks for Semantic Segmentation
    Geo-Semantic Segmentation
    Human Action Segmentation With Hierarchical Supervoxel Consistency
    Hypercolumns for Object Segmentation and Fine-Grained Localization
    Image Segmentation in Twenty Questions
    Joint Tracking and Segmentation of Multiple Targets
    JOTS Joint Online Tracking and Segmentation
    Learning Similarity Metrics for Dynamic Scene Segmentation
    Multi-Instance Object Segmentation With Occlusion Handling
    Multiclass Semantic Video Segmentation With Object-Level Active Inference
    Multiple Random Walkers and Their Application to Image Cosegmentation
    Object Proposal by Multi-Branch Hierarchical Segmentation
    Object-Based RGBD Image Co-Segmentation With Mutex Constraint
    PatchCut Data-Driven Object Segmentation via Local Shape Transfer
    Real-Time Coarse-to-Fine Topologically Preserving Segmentation
    Saliency-Aware Geodesic Video Object Segmentation
    Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images
    segDeepM Exploiting Segmentation and Context in Deep Neural Networks for Object Detection
    Semantic Object Segmentation via Detection in Weakly Labeled Video
    Semantic Part Segmentation Using Compositional Model Combining Shape and Appearance
    Shape-Tailored Local Descriptors and Their Application to Segmentation and Tracking
    SOLD Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation
    Superpixel Segmentation Using Linear Spectral Clustering
    Superpixel-Based Video Object Segmentation Using Perceptual Organization and Location Prior
    Weakly Supervised Semantic Segmentation for Social Images

    Image retrieval

    Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
    Early Burst Detection for Memory-Efficient Image Retrieval
    FAemb A Function Approximation-Based Embedding Method for Image Retrieval
    Image Retrieval Using Scene Graphs
    Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
    Deep Learning of Binary Hash Codes for Fast Image Retrieval
    Exploiting Local Features from Deep Networks for Image Retrieval

    Hashing

    Deep Hashing for Compact Binary Codes Learning
    Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
    Face Video Retrieval With Image Query via Hashing Across Euclidean Space and Riemannian Manifold
    Hashing With Binary Autoencoders
    Online Sketching Hashing
    Reflectance Hashing for Material Recognition
    Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
    Semantics-Preserving Hashing for Cross-View Retrieval
    Simultaneous Feature Learning and Hash Coding With Deep Neural Networks
    Supervised Discrete Hashing.pdf
    Web Scale Photo Hash Clustering on A Single Machine
    Deep Learning of Binary Hash Codes for Fast Image Retrieval

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