H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 36 Citations 7,470 235 World Ranking 5727 National Ranking 270

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Operating system

Didier Stricker mainly investigates Artificial intelligence, Computer vision, Augmented reality, Sensor fusion and Multimedia. As part of one scientific family, Didier Stricker deals mainly with the area of Computer vision, narrowing it down to issues related to the Trajectory, and often Minimum bounding box. His work carried out in the field of Augmented reality brings together such families of science as Image processing, Mobile computing and Rendering.

Within one scientific family, Didier Stricker focuses on topics pertaining to Inertial measurement unit under Sensor fusion, and may sometimes address concerns connected to Match moving, Inertial frame of reference, Kinematics and Motion. His studies deal with areas such as Animation, Information and Communications Technology, The Internet, Cultural heritage and Cyber-physical system as well as Multimedia. His research in Computer-mediated reality focuses on subjects like Data visualization, which are connected to Computer graphics.

His most cited work include:

  • Introducing a New Benchmarked Dataset for Activity Monitoring (415 citations)
  • Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet (310 citations)
  • Archeoguide: an augmented reality guide for archaeological sites (270 citations)

What are the main themes of his work throughout his whole career to date?

Didier Stricker spends much of his time researching Artificial intelligence, Computer vision, Augmented reality, Pattern recognition and Pose. His Artificial intelligence study focuses mostly on Deep learning, Convolutional neural network, Robustness, Artificial neural network and Segmentation. His Computer vision study frequently draws parallels with other fields, such as Computer graphics.

His research in Augmented reality intersects with topics in Visualization, Multimedia and Rendering. Didier Stricker studies 3D pose estimation which is a part of Pose. Didier Stricker has included themes like Inertial measurement unit and Accelerometer in his Sensor fusion study.

He most often published in these fields:

  • Artificial intelligence (77.78%)
  • Computer vision (55.23%)
  • Augmented reality (21.24%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (77.78%)
  • Computer vision (55.23%)
  • Deep learning (6.54%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Computer vision, Deep learning, Artificial neural network and RGB color model are his primary areas of study. Artificial intelligence is often connected to Pattern recognition in his work. His research integrates issues of Lidar and Interpolation in his study of Computer vision.

His Artificial neural network research is multidisciplinary, incorporating perspectives in Point cloud, Image segmentation, Object detection and Data set. His RGB color model research is multidisciplinary, incorporating elements of Matching and Process. His Augmented reality study integrates concerns from other disciplines, such as Tracking system, Tracking, Computation and Feature.

Between 2019 and 2021, his most popular works were:

  • Amharic OCR : An End-to-End Learning (4 citations)
  • DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR (3 citations)
  • AutoPOSE: Large-scale Automotive Driver Head Pose and Gaze Dataset with Deep Head Orientation Baseline. (3 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Operating system

Didier Stricker focuses on Artificial intelligence, Computer vision, Interpolation, Robustness and RGB color model. His studies link Pattern recognition with Artificial intelligence. His Computer vision research incorporates elements of Semantics and Virtual reality.

His Interpolation research includes elements of Optical flow, Algorithm and Pixel. His work deals with themes such as Segmentation and Process, which intersect with RGB color model. His study looks at the relationship between Deep learning and topics such as Pose, which overlap with Convolutional neural network, Augmented reality, Tracking system, Real image and Image resolution.

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.

Top Publications

Introducing a New Benchmarked Dataset for Activity Monitoring

Attila Reiss;Didier Stricker.
international symposium on wearable computers (2012)

531 Citations

Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet

Jorge Posada;Carlos Toro;Inigo Barandiaran;David Oyarzun.
IEEE Computer Graphics and Applications (2015)

530 Citations

Archeoguide: an augmented reality guide for archaeological sites

V. Vlahakis;M. Ioannidis;J. Karigiannis;M. Tsotros.
IEEE Computer Graphics and Applications (2002)

498 Citations

Archeoguide: first results of an augmented reality, mobile computing system in cultural heritage sites

Vassilios Vlahakis;John Karigiannis;Manolis Tsotros;Michael Gounaris.
visual analytics science and technology (2001)

367 Citations

Augmented reality for construction tasks: doorlock assembly

Dirk Reiners;Didier Stricker;Gudrun Klinker;Stefan Müller.
IWAR '98 Proceedings of the international workshop on Augmented reality : placing artificial objects in real scenes: placing artificial objects in real scenes (1999)

262 Citations

Creating and benchmarking a new dataset for physical activity monitoring

Attila Reiss;Didier Stricker.
pervasive technologies related to assistive environments (2012)

206 Citations

Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation

Christian Bailer;Bertram Taetz;Didier Stricker.
international conference on computer vision (2015)

201 Citations

Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion

Alessandro Filippeschi;Norbert Schmitz;Markus Miezal;Gabriele Bleser;Gabriele Bleser.
Sensors (2017)

199 Citations

Advanced tracking through efficient image processing and visual-inertial sensor fusion

G. Bleser;D. Stricker.
ieee virtual reality conference (2008)

196 Citations

Comparison of Kinect V1 and V2 Depth Images in Terms of Accuracy and Precision

Oliver Wasenmüller;Didier Stricker.
asian conference on computer vision (2016)

194 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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