Deep learning in microscopy image analysis: A survey
Computerized microscopy image analysis plays an important role in computer aided
diagnosis and prognosis. Machine learning techniques have powered many aspects of …
diagnosis and prognosis. Machine learning techniques have powered many aspects of …
Recent developments and trends in point set registration methods
Point set registration (PSR) is the process of computing a spatial transformation that
optimally aligns pairs of point sets. The method helps to amalgamate multiple datasets into a …
optimally aligns pairs of point sets. The method helps to amalgamate multiple datasets into a …
STAT: Spatial-temporal attention mechanism for video captioning
Video captioning refers to automatic generate natural language sentences, which
summarize the video contents. Inspired by the visual attention mechanism of human beings …
summarize the video contents. Inspired by the visual attention mechanism of human beings …
Deep hyperspectral image sharpening
Hyperspectral image (HSI) sharpening, which aims at fusing an observable low spatial
resolution (LR) HSI (LR-HSI) with a high spatial resolution (HR) multispectral image (HR …
resolution (LR) HSI (LR-HSI) with a high spatial resolution (HR) multispectral image (HR …
Optimized structure of the traffic flow forecasting model with a deep learning approach
Forecasting accuracy is an important issue for successful intelligent traffic management,
especially in the domain of traffic efficiency and congestion reduction. The dawning of the …
especially in the domain of traffic efficiency and congestion reduction. The dawning of the …
Efficient pavement crack detection and classification
A Cubero-Fernandez, FJ Rodriguez-Lozano… - EURASIP Journal on …, 2017 - Springer
Each year, millions of dollars are invested on road maintenance and reparation all over the
world. In order to minimize costs, one of the main aspects is the early detection of those …
world. In order to minimize costs, one of the main aspects is the early detection of those …
Efficient parallel framework for HEVC motion estimation on many-core processors
High Efficiency Video Coding (HEVC) provides superior coding efficiency than previous
video coding standards at the cost of increasing encoding complexity. The complexity …
video coding standards at the cost of increasing encoding complexity. The complexity …
Predicting students' attention in the classroom from Kinect facial and body features
This paper proposes a novel approach to automatic estimation of attention of students
during lectures in the classroom. The approach uses 2D and 3D data obtained by the Kinect …
during lectures in the classroom. The approach uses 2D and 3D data obtained by the Kinect …
Fire smoke detection algorithm based on motion characteristic and convolutional neural networks
It is a challenging task to recognize smoke from visual scenes due to large variations in the
feature of color, texture, shapes, etc. The current detection algorithms are mainly based on …
feature of color, texture, shapes, etc. The current detection algorithms are mainly based on …
Optimization of deep convolutional neural network for large scale image retrieval
Feature extraction and similarity measurement are two key steps in image retrieval. AlexNet
is a classical deep convolutional neural network for image classification, but using it directly …
is a classical deep convolutional neural network for image classification, but using it directly …