What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Algorithm
Janusz Konrad mainly investigates Artificial intelligence, Computer vision, Image processing, Motion estimation and Pattern recognition.
His Artificial intelligence study combines topics in areas such as Frame and Algorithm.
His Image processing study integrates concerns from other disciplines, such as Image quality and Image segmentation.
His Motion estimation research is multidisciplinary, incorporating elements of Markov random field, Mathematical optimization and Markov chain.
In his research, Sparse approximation is intimately related to Covariance matrix, which falls under the overarching field of Pattern recognition.
His work on Quarter-pixel motion as part of general Motion compensation study is frequently connected to Quadratic function, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His most cited work include:
- Changedetection.net: A new change detection benchmark dataset (571 citations)
- CDnet 2014: An Expanded Change Detection Benchmark Dataset (420 citations)
- Estimating motion in image sequences (351 citations)
What are the main themes of his work throughout his whole career to date?
Janusz Konrad spends much of his time researching Artificial intelligence, Computer vision, Motion estimation, Image processing and Pattern recognition.
His study in Artificial intelligence concentrates on Quarter-pixel motion, Image segmentation, Background subtraction, Pixel and Segmentation.
His Computer vision research incorporates themes from Algorithm and Interpolation.
His study looks at the intersection of Algorithm and topics like Mathematical optimization with Estimation theory.
His biological study deals with issues like Data compression, which deal with fields such as Transform coding.
Janusz Konrad combines subjects such as Covariance matrix, Silhouette and Image with his study of Pattern recognition.
He most often published in these fields:
- Artificial intelligence (78.38%)
- Computer vision (64.32%)
- Motion estimation (21.62%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (78.38%)
- Computer vision (64.32%)
- Convolutional neural network (4.32%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Convolutional neural network, Pattern recognition and Background subtraction are his primary areas of study.
Janusz Konrad combines Artificial intelligence and Overhead in his studies.
His research on Computer vision often connects related topics like Privacy preserving.
His research in Convolutional neural network intersects with topics in Kernel and Support vector machine.
Janusz Konrad has researched Pattern recognition in several fields, including 2D to 3D conversion, Similarity, Filter and Content.
The concepts of his Video processing study are interwoven with issues in Video tracking, Image processing, Shadow, Information retrieval and Video post-processing.
Between 2013 and 2021, his most popular works were:
- CDnet 2014: An Expanded Change Detection Benchmark Dataset (420 citations)
- Concussion, microvascular injury, and early tauopathy in young athletes after impact head injury and an impact concussion mouse model. (174 citations)
- A novel video dataset for change detection benchmarking. (56 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Algorithm
His primary areas of investigation include Artificial intelligence, Computer vision, Gesture, Pixel and Convolutional neural network.
His biological study spans a wide range of topics, including Frame and Pattern recognition.
His work is dedicated to discovering how Frame, Background subtraction are connected with Video processing and Video tracking and other disciplines.
Janusz Konrad is studying Image resolution, which is a component of Computer vision.
As a part of the same scientific family, Janusz Konrad mostly works in the field of Gesture, focusing on Biometrics and, on occasion, Speech recognition, User authentication, Word error rate and Robustness.
His Pixel research includes elements of Optical imaging and Rendering.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
