Subject
The IEEE Transactions on Image Processing is a monthly peer-reviewed scientific journal covering aspects of image processing in the field of signal processing. It was established in 1992 and is published by the IEEE Signal Processing Society. The editor-in-chief is Alessandro Foi (Tampere University). According to the Journal Citation Reports, the journal has a 2020 impact factor of 10.856. Source: Wikipedia (en)
Editions published in IEEE Transactions on Image Processing 200
Too many entities requested (7991). Only 200 are displayed.
-
Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval
-
Event Detection in Continuous Video: An Inference in Point Process Approach.
-
Body Structure Aware Deep Crowd Counting
-
Partial Membership Latent Dirichlet Allocation for Soft Image Segmentation.
-
Cross-Domain Shoe Retrieval with a Semantic Hierarchy of Attribute Classification Network
-
Example-Based Image Colorization Using Locality Consistent Sparse Representation
-
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations
-
Knowledge Based Topic Model for Unsupervised Object Discovery and Localization
-
Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud
-
Robust Web Image Annotation via Exploring Multi-Facet and Structural Knowledge.
-
Multimodal Similarity Gaussian Process Latent Variable Model
-
Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features
-
Correlated Topic Vector for Scene Classification.
-
Deep Label Distribution Learning With Label Ambiguity
-
Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold.
-
Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches
-
Videography-Based Unconstrained Video Analysis
-
Discriminative Training of Deep Fully Connected Continuous CRFs With Task-Specific Loss.
-
Hierarchical Latent Concept Discovery for Video Event Detection
-
Semantic Highlight Retrieval and Term Prediction
-
Dual Deep Network for Visual Tracking
-
Stacked Learning to Search for Scene Labeling
-
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
-
Nonlinear Deep Kernel Learning for Image Annotation
-
Learning Deep Sharable and Structural Detectors for Face Alignment
-
Deep Aesthetic Quality Assessment With Semantic Information
-
Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation.
-
Unsupervised t-Distributed Video Hashing and its Deep Hashing Extension
-
Towards Optimal Manifold Hashing via Discrete Locally Linear Embedding
-
Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search
-
Hash Bit Selection for Nearest Neighbor Search
-
Partial Hash Update via Hamming Subspace Learning
Subject - wd:Q15756967