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Bjorn Stenger

Bjorn Stenger

D-Index & Metrics

Computer Science

D-Index
38
Citations
7335
World Ranking
10116
National Ranking
151

Overview

Bjorn Stenger is affiliated with Rakuten in Japan, specializing in computer science with a primary focus on computer vision and related subfields. Their research portfolio encompasses computer vision and pattern recognition, media technology, artificial intelligence, information systems, and human-computer interaction.

Their main topics of work include:

  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications
  • Advanced Image Fusion Techniques
  • Video Analysis and Summarization
  • Video Surveillance and Tracking Methods

Bjorn Stenger has contributed research published primarily in venues such as arXiv (Cornell University), the International Journal of Computer Vision, the Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, and the Journal of Computational and Cognitive Engineering.

Recent papers include:

  • Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method (2023), Proceedings of the AAAI Conference on Artificial Intelligence
  • Deep Image Deblurring: A Survey (2022), International Journal of Computer Vision
  • GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions (2024), International Journal of Computer Vision
  • MC-Blur: A Comprehensive Benchmark for Image Deblurring (2023), IEEE Transactions on Circuits and Systems for Video Technology
  • Deep Generative Inpainting with Comparative Sample Augmentation (2022), Journal of Computational and Cognitive Engineering

The scientist frequently collaborates with several co-authors, including Kaihao Zhang, Wenhan Luo, Hongdong Li, Wei Liu, and Yeongnam Chae. Collaboration counts with these co-authors range from 6 to 12 joint publications.

Best Publications

  • Model-based hand tracking using a hierarchical Bayesian filter

    B. Stenger;A. Thayananthan;P.H.S. Torr;R. Cipolla

  • Shape context and chamfer matching in cluttered scenes

    A. Thayananthan;B. Stenger;P.H.S. Torr;R. Cipolla

  • Model-based 3D tracking of an articulated hand

    B. Stenger;P.R.S. Mendonca;R. Cipolla

  • Deep Image Deblurring: A Survey

    Unknown

  • Deblurring by Realistic Blurring

    Kaihao Zhang;Wenhan Luo;Yiran Zhong;Lin Ma

  • Topology free hidden Markov models: application to background modeling

    B. Stenger;V. Ramesh;N. Paragios;F. Coetzee

  • BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis

    Shanxin Yuan;Qi Ye;Bjorn Stenger;Siddhant Jain

  • Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

    Shanxin Yuan;Guillermo Garcia-Hernando;Bjorn Stenger;Gyeongsik Moon

  • Non-rigid Photometric Stereo with Colored Lights

    C. Hernandez;G. Vogiatzis;G.J. Brostow;B. Stenger

  • Filtering Using a Tree-Based Estimator

    B. Stenger;A. Thayananthan;P. H. S. Torr;R. Cipolla

  • Model-Based Hand Tracking Using an Unscented Kalman Filter

    Bjoern Stenger;Paulo R. S. Mendonça;Roberto Cipolla

  • Demisting the Hough Transform for 3D Shape Recognition and Registration

    Oliver J. Woodford;Minh-Tri Pham;Atsuto Maki;Frank Perbet

  • Interface apparatus and interface method

    Tsukasa Ike;Yasuhiro Taniguchi;Ryuzo Okada;Nobuhisa Kishikawa

  • Multivariate relevance vector machines for tracking

    Arasanathan Thayananthan;Ramanan Navaratnam;Björn Stenger;Philip H. S. Torr

  • Discriminative Feature Co-Occurrence Selection for Object Detection

    T. Mita;T. Kaneko;B. Stenger;O. Hori

  • Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations

    Tae-Kyun Kim;Shu-Fai Wong;B. Stenger;J. Kittler

  • Hand Pose Estimation Using Hierarchical Detection

    Bjoern Stenger;Arasanathan Thayananthan;Philip H. S. Torr;Roberto Cipolla

  • Parsing floor plan images

    Samuel Dodge;Jiu Xu;Bjorn Stenger

  • Expressive Visual Text-to-Speech Using Active Appearance Models

    Robert Anderson;Bjorn Stenger;Vincent Wan;Roberto Cipolla

  • Learning to track with multiple observers

    Bjorn Stenger;Thomas Woodley;Roberto Cipolla

  • Facial Action Unit Detection With Transformers

    Geethu Miriam Jacob;Bjorn Stenger

  • 3D Hand Pose Estimation: From Current Achievements to Future Goals

    Shanxin Yuan;Guillermo Garcia-Hernando;Björn Stenger;Gyeongsik Moon

Frequent Co-Authors

Roberto Cipolla
Roberto Cipolla University of Cambridge
Tae-Kyun Kim
Tae-Kyun Kim Korea Advanced Institute of Science and Technology
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Wei Liu
Wei Liu Tencent (China)
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York
Sergio Escalera
Sergio Escalera University of Barcelona
Jan Kautz
Jan Kautz Nvidia (United States)
Hongdong Li
Hongdong Li Australian National University
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
Antonis A. Argyros
Antonis A. Argyros University of Crete

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