AI Medical Compendium Journal:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Showing 81 to 90 of 191 articles

Structure-Coherent Deep Feature Learning for Robust Face Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, we propose a structure-coherent deep feature learning method for face alignment. Unlike most existing face alignment methods which overlook the facial structure cues, we explicitly exploit the relation among facial landmarks to make th...

Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In recent years, person re-identification (re-ID) has achieved relatively good performance, benefiting from the revival of deep neural networks. However, due to the existence of domain bias which refers to the different data distributions between two...

Image-Guided Human Reconstruction via Multi-Scale Graph Transformation Networks.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
3D human reconstruction from a single image is a challenging problem. Existing methods have difficulties to infer 3D clothed human models with consistent topologies for various poses. In this paper, we propose an efficient and effective method using ...

Simultaneous Direct Depth Estimation and Synthesis Stereo for Single Image Plant Root Reconstruction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Plant roots are the main conduit to its interaction with the physical and biological environment. A 3D root system architecture can provide fundamental and applied knowledge of a plant's ability to thrive, but the construction of 3D structures for th...

VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Deep learning-based super-resolution (SR) techniques have generally achieved excellent performance in the computer vision field. Recently, it has been proven that three-dimensional (3D) SR for medical volumetric data delivers better visual results th...

Composited FishNet: Fish Detection and Species Recognition From Low-Quality Underwater Videos.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
The automatic detection and identification of fish from underwater videos is of great significance for fishery resource assessment and ecological environment monitoring. However, due to the poor quality of underwater images and unconstrained fish mov...

Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Magnetic Resonance Imaging (MRI) is a widely used imaging technique to assess brain tumor. Accurately segmenting brain tumor from MR images is the key to clinical diagnostics and treatment planning. In addition, multi-modal MR images can provide comp...

Hand Pose Understanding With Large-Scale Photo-Realistic Rendering Dataset.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Hand pose understanding is essential to applications such as human computer interaction and augmented reality. Recently, deep learning based methods achieve great progress in this problem. However, the lack of high-quality and large-scale dataset pre...

Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, we aim to address issues of (1) joint spatial-temporal modeling and (2) side information injection for deep-learning based in-loop filter. For (1), we design a deep network with both progressive rethinking and collaborative learning me...

Features Guided Face Super-Resolution via Hybrid Model of Deep Learning and Random Forests.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Face hallucination or super-resolution is a practical application of general image super-resolution which has been recently studied by many researchers. The challenge of good face hallucination comes from a variety of poses, illuminations, facial exp...