AIMC Journal:
IEEE transactions on pattern analysis and machine intelligence

Showing 241 to 250 of 300 articles

Cross-Generation Kinship Verification with Sparse Discriminative Metric.

IEEE transactions on pattern analysis and machine intelligence Aug 1, 2018
Kinship verification is a very important technique in many real-world applications, e.g., personal album organization, missing person investigation and forensic analysis. However, it is extremely difficult to verify a family pair with generation gap,...
Neural Networks, Computer Algorithms Female Humans Biometric Identification Family Pedigree Face Pattern Recognition, Automated Male
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Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach.

IEEE transactions on pattern analysis and machine intelligence Jul 24, 2018
Panoramic video provides immersive and interactive experience by enabling humans to control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in modeling human attention on panoramic video. This paper establishes a databas...
Humans Algorithms Adult Male Deep Learning Female Young Adult Models, Statistical Video Recording Adolescent Head Movements Image Processing, Computer-Assisted
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3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.

IEEE transactions on pattern analysis and machine intelligence Jul 23, 2018
Synthesizing realistic profile faces is beneficial for more efficiently training deep pose-invariant models for large-scale unconstrained face recognition, by augmenting the number of samples with extreme poses and avoiding costly annotation work. Ho...
Biometric Identification Humans Databases, Factual Deep Learning Imaging, Three-Dimensional Face
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Fine-Tuning CNN Image Retrieval with No Human Annotation.

IEEE transactions on pattern analysis and machine intelligence Jun 12, 2018
Image descriptors based on activations of Convolutional Neural Networks (CNNs) have become dominant in image retrieval due to their discriminative power, compactness of representation, and search efficiency. Training of CNNs, either from scratch or f...
Pattern Recognition, Automated Databases, Factual Humans Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted
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Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2018
Heterogeneous face recognition (HFR) aims at matching facial images acquired from different sensing modalities with mission-critical applications in forensics, security and commercial sectors. However, HFR presents more challenging issues than tradit...
Facial Expression Humans Image Processing, Computer-Assisted Neural Networks, Computer Biometric Identification Face Databases, Factual Spectroscopy, Near-Infrared Algorithms
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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2018
Accurate medical image segmentation is essential for diagnosis, surgical planning and many other applications. Convolutional Neural Networks (CNNs) have become the state-of-the-art automatic segmentation methods. However, fully automatic results may ...
Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Placenta Neural Networks, Computer Pregnancy Brain Neoplasms Imaging, Three-Dimensional Female Humans
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Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.

IEEE transactions on pattern analysis and machine intelligence May 24, 2018
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-Net, t...
Cerebral Cortex Microscopy, Electron Nerve Net Drosophila Connectome Algorithms Image Processing, Computer-Assisted Mice Deep Learning Animals Neurons Imaging, Three-Dimensional
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Learning Support Correlation Filters for Visual Tracking.

IEEE transactions on pattern analysis and machine intelligence Apr 20, 2018
For visual tracking methods based on kernel support vector machines (SVMs), data sampling is usually adopted to reduce the computational cost in training. In addition, budgeting of support vectors is required for computational efficiency. Instead of ...
Fourier Analysis Databases, Factual Humans Image Processing, Computer-Assisted Algorithms Support Vector Machine
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Hedging Deep Features for Visual Tracking.

IEEE transactions on pattern analysis and machine intelligence Apr 20, 2018
Convolutional Neural Networks (CNNs) have been applied to visual tracking with demonstrated success in recent years. Most CNN-based trackers utilize hierarchical features extracted from a certain layer to represent the target. However, features from ...
Video Recording Humans Algorithms Image Processing, Computer-Assisted Neural Networks, Computer
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Recurrent Shape Regression.

IEEE transactions on pattern analysis and machine intelligence Apr 19, 2018
An end-to-end network architecture, the Recurrent Shape Regression (RSR), is presented to deal with the task of facial shape detection, a crucial step in many computer vision problems. The RSR generalizes the conventional cascaded regression into a r...
Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted Humans Pattern Recognition, Automated Regression Analysis Face
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