What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
Antonis A. Argyros mostly deals with Artificial intelligence, Computer vision, Object, Tracking and Robot.
Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Point.
His research on Computer vision frequently connects to adjacent areas such as Particle swarm optimization.
His research investigates the connection between Object and topics such as Image that intersect with problems in Object tracking algorithm.
His study in Tracking is interdisciplinary in nature, drawing from both Space, Algorithm and State.
The Robotics research Antonis A. Argyros does as part of his general Robot study is frequently linked to other disciplines of science, such as Homing, therefore creating a link between diverse domains of science.
His most cited work include:
- Efficient Model-based 3D Tracking of Hand Articulations using Kinect (770 citations)
- SBA: A software package for generic sparse bundle adjustment (640 citations)
- Full DOF tracking of a hand interacting with an object by modeling occlusions and physical constraints (237 citations)
What are the main themes of his work throughout his whole career to date?
Antonis A. Argyros mainly focuses on Artificial intelligence, Computer vision, Pose, Tracking and Pattern recognition.
His study looks at the relationship between Artificial intelligence and fields such as Machine learning, as well as how they intersect with chemical problems.
His Computer vision research is multidisciplinary, incorporating elements of Particle swarm optimization and Robustness.
His work in Pose tackles topics such as RGB color model which are related to areas like Monocular.
His Tracking research includes elements of Orientation, 3D reconstruction and Image.
His work on Image segmentation as part of his general Pattern recognition study is frequently connected to Set, thereby bridging the divide between different branches of science.
He most often published in these fields:
- Artificial intelligence (84.47%)
- Computer vision (67.58%)
- Pose (17.81%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (84.47%)
- Computer vision (67.58%)
- Pose (17.81%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Pose, Pattern recognition and Machine learning are his primary areas of study.
His Artificial intelligence study frequently draws connections to adjacent fields such as Task.
His research on Computer vision often connects related topics like Retinal image.
The various areas that Antonis A. Argyros examines in his Pose study include Gradient descent, Artificial neural network, Particle filter and Pattern recognition.
His Pattern recognition research is multidisciplinary, incorporating perspectives in Pairwise comparison and Motion capture.
His research in Machine learning intersects with topics in Object perception and Knowledge engineering.
Between 2018 and 2021, his most popular works were:
- Region-based Fitting of Overlapping Ellipses and its application to cells segmentation (11 citations)
- A Review on Deep Learning Techniques for Video Prediction (9 citations)
- Accurate Hand Keypoint Localization on Mobile Devices (8 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Machine learning
His primary areas of investigation include Artificial intelligence, Computer vision, State, Machine learning and Human eye.
Antonis A. Argyros has researched Artificial intelligence in several fields, including Contrast and Pattern recognition.
While working on this project, Antonis A. Argyros studies both Computer vision and Encoder.
The concepts of his State study are interwoven with issues in Convolutional neural network, Mobile device and Spiking neural network.
His Machine learning study incorporates themes from Object perception, Task and Knowledge engineering.
His work carried out in the field of Human eye brings together such families of science as Tomographic reconstruction, Retinal image, Preprocessor and Fundus.
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