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