World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7721
World Ranking
9648
National Ranking
4088

Overview

Richard J. Radke is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily focuses on the domain of Computer Science, with a significant emphasis on Computer Vision and Pattern Recognition. Within this overarching field, their work spans areas such as Artificial Intelligence, Social Psychology, Ocean Engineering, and Biomedical Engineering.

The scientist's recent research contributions include studies published in venues such as arXiv (Cornell University), the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Proceedings of the AAAI Conference on Artificial Intelligence, the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), and the journal Energy and Buildings.

Notable recent papers authored or co-authored by Richard J. Radke include:

  • A Broad Study on the Transferability of Visual Representations with Contrastive Learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data, 2021, arXiv (Cornell University)
  • A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • A zone-level occupancy counting system for commercial office spaces using low-resolution time-of-flight sensors, 2021, Energy and Buildings
  • Natural Language Video Moment Localization Through Query-Controlled Temporal Convolution, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The scientist frequently collaborates with a group of co-authors, including Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, and Rogério Feris, each contributing extensively alongside them across multiple publications.

Richard J. Radke's main research topics reflect a variety of specialized interests, including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Video Analysis and Summarization

Best Publications

  • Image change detection algorithms: a systematic survey

    R.J. Radke;S. Andra;O. Al-Kofahi;B. Roysam

  • A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

    Srikrishna Karanam;Mengran Gou;Ziyan Wu;Angels Rates-Borras

  • Towards Visually Explaining Variational Autoencoders

    Wenqian Liu;Runze Li;Meng Zheng;Srikrishna Karanam

  • Re-Identification With Consistent Attentive Siamese Networks

    Meng Zheng;Srikrishna Karanam;Ziyan Wu;Richard J. Radke

  • Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries

    Srikrishna Karanam;Yang Li;Richard J. Radke

  • Automated Cell Lineage Construction: A Rapid Method to Analyze Clonal Development Established with Murine Neural Progenitor Cells

    Omar Al-Kofahi;Richard J Radke;Susan K Goderie;Qin Shen

  • Model-based segmentation of medical imagery by matching distributions

    D. Freedman;R.J. Radke;Tao Zhang;Yongwon Jeong

  • Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features

    Ziyan Wu;Yang Li;Richard J. Radke

  • Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization

    Manling Li;Lingyu Zhang;Heng Ji;Richard J. Radke

  • Detecting Dominant Motions in Dense Crowds

    A.M. Cheriyadat;R.J. Radke

  • Sparse re-id: Block sparsity for person re-identification

    Srikrishna Karanam;Yang Li;Richard J. Radke

  • DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset

    Mengran Gou;Srikrishna Karanam;Wenqian Liu;Octavia Camps

  • A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

    Ashraful Islam;Chengjiang Long;Richard J. Radke

  • A Sensor-Based Dual-Arm Tele-Robotic System

    Daniel Kruse;John T. Wen;Richard J. Radke

  • Distributed metric calibration of ad hoc camera networks

    Dhanya Devarajan;Richard J. Radke;Haeyong Chung

  • Level set segmentation with both shape and intensity priors

    Siqi Chen;Richard J. Radke

  • Segmenting the prostate and rectum in CT imagery using anatomical constraints

    Siqi Chen;D. Michael Lovelock;Richard J. Radke

  • Calibrating Distributed Camera Networks

    D. Devarajan;Zhaolin Cheng;R.J. Radke

  • Filling large holes in LiDAR data by inpainting depth gradients

    David Doria;Richard J. Radke

  • Keeping a Pan-Tilt-Zoom Camera Calibrated

    Ziyan Wu;R. J. Radke

  • Computer Vision for Visual Effects

    Richard J. Radke

Frequent Co-Authors

Octavia Camps
Octavia Camps Northeastern University
John T. Wen
John T. Wen Rensselaer Polytechnic Institute
Peter J. Ramadge
Peter J. Ramadge Princeton University
Badrinath Roysam
Badrinath Roysam University of Houston
Sanjeev R. Kulkarni
Sanjeev R. Kulkarni Princeton University
Rogerio Feris
Rogerio Feris IBM (United States)
Thomas D. C. Little
Thomas D. C. Little Boston University
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Arthur C. Sanderson
Arthur C. Sanderson Rensselaer Polytechnic Institute
Steve B Jiang
Steve B Jiang The University of Texas Southwestern Medical Center

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees can open the door to a broad scope of technology and engineering disciplines closely linked to computer science. For those looking to enter the workforce quickly, consider an accelerated computer science degree, which offers a fast-track to industry-ready skills.

The growth of interdisciplinary tech careers means fields like environmental and mechanical engineering often overlap with computer science. Pursuing an environmental engineering degree online can prepare you to solve ecological challenges using advanced computing tools.

Those interested in product design or robotics may look for the cheapest online master's mechanical engineering programs, many of which now emphasize automation and data analysis. Similarly, an online physics degree can strengthen your problem-solving and analytical abilities—qualities highly valued in computer science roles.

Exploring these related degrees boosts your versatility and career options, whether you’re pursuing pure software development or combining multiple STEM disciplines.

Best Scientists Citing Richard J. Radke

Trending Scientists

Recently Published Articles