World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
28815
World Ranking
852
National Ranking
466

Research.com Recognitions

  • 2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions in tracking, human gesture analysis, shape recognition, and video databases

Overview

Stan Sclaroff is affiliated with Boston University in the United States. Their primary field of research is Computer Science, with a strong emphasis on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Science Applications, and Cancer Research.

Their research spans several key topics, including Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Human Pose and Action Recognition, Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning, and Advanced Image Processing Techniques.

Stan Sclaroff has contributed to numerous publications, with frequent appearances in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers authored or coauthored by Stan Sclaroff include:

  • "Universal Domain Adaptation through Self Supervision," 2020, arXiv (Cornell University)
  • "Real-Time Semantic Segmentation With Fast Attention," 2020, IEEE Robotics and Automation Letters
  • "Many-to-many Splatting for Efficient Video Frame Interpolation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Learning Cross-Modal Contrastive Features for Video Domain Adaptation," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "MULE: Multimodal Universal Language Embedding," 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Stan Sclaroff has collaborated frequently with several coauthors, including Kate Saenko, Donghyun Kim, Sarah Adel Bargal, Nataniel Ruiz, and Kuniaki Saito.

In addition to journal and conference publications, Stan Sclaroff has contributed to book publications with Springer Science+Business Media. These publications include works such as "Pattern Recognition. ICPR International Workshops and Challenges" and "Image Analysis and Processing. ICIAP 2022 Workshops," published between 2021 and 2022.

Stan Sclaroff received the honor of Fellow of the International Association for Pattern Recognition (IAPR) in 2016 for contributions in tracking, human gesture analysis, shape recognition, and video databases.

Best Publications

  • Photobook: content-based manipulation of image databases

    A. Pentland;R. W. Picard;S. Sclaroff;S. Sclaroff

  • Photobook: tools for content-based manipulation of image databases

    Alexander P. Pentland;Rosalind W. Picard;Stan Sclaroff

  • MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization

    Jianming Zhang;Shugao Ma;Stan Sclaroff

  • Fast, reliable head tracking under varying illumination: an approach based on registration of texture-mapped 3D models

    M. La Cascia;S. Sclaroff;V. Athitsos

  • Top-Down Neural Attention by Excitation Backprop

    Jianming Zhang;Sarah Adel Bargal;Zhe Lin;Jonathan Brandt

  • Closed-form solutions for physically based shape modeling and recognition

    A. Pentland;S. Sclaroff

  • Modal matching for correspondence and recognition

    S. Sclaroff;A.P. Pentland

  • Semi-Supervised Domain Adaptation via Minimax Entropy

    Kuniaki Saito;Donghyun Kim;Stan Sclaroff;Trevor Darrell

  • Top-Down Neural Attention by Excitation Backprop

    Jianming Zhang;Zhe L. Lin;Jonathan Brandt;Xiaohui Shen

  • Saliency Detection: A Boolean Map Approach

    Jianming Zhang;Stan Sclaroff

  • Estimating 3D hand pose from a cluttered image

    V. Athitsos;S. Sclaroff

  • ImageRover: a content-based image browser for the World Wide Web

    S. Sclaroff;L. Taycher;M. La Cascia

  • A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation

    J. Alon;V. Athitsos;Quan Yuan;S. Sclaroff

  • Minimum Barrier Salient Object Detection at 80 FPS

    Jianming Zhang;Stan Sclaroff;Zhe Lin;Xiaohui Shen

  • Learning Activity Progression in LSTMs for Activity Detection and Early Detection

    Shugao Ma;Leonid Sigal;Stan Sclaroff

  • Combining textual and visual cues for content-based image retrieval on the World Wide Web

    M. La Cascia;S. Sethi;S. Sclaroff

  • Skin color-based video segmentation under time-varying illumination

    L. Sigal;S. Sclaroff;V. Athitsos

  • Object, scene and actions: combining multiple features for human action recognition

    Nazli Ikizler-Cinbis;Stan Sclaroff

  • Photobook: tools for content-based manipulation of image databases

    Unknown

  • Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers

    Rui Li;Ming-Hsuan Yang;Stan Sclaroff;Tai-Peng Tian

  • Closed-form solutions for physically-based shape modeling and recognition

    S. Sclaroff;A. Pentland

Frequent Co-Authors

Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington
Margrit Betke
Margrit Betke Boston University
Kate Saenko
Kate Saenko Boston University
George Kollios
George Kollios Boston University
Leonid Sigal
Leonid Sigal University of British Columbia
Zhe Lin
Zhe Lin Adobe Systems (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Trevor Darrell
Trevor Darrell University of California, Berkeley
Irfan Essa
Irfan Essa Georgia Institute of Technology

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

The landscape of online education in the USA offers diverse degree options for students interested in enhancing their career prospects, in addition to studying Computer Science. Whether you aim for technical, managerial, or academic growth, there are flexible online programs to meet your goals.

Business professionals seeking advancement may consider an executive mba online program. These programs are designed for those who want to accelerate their leadership skills without interrupting their careers.

For individuals passionate about information organization, an online library science degree provides specialized expertise for roles in libraries, archives, or digital information management.

If affordability is your priority, there are numerous options for an affordable master degree online across various disciplines, allowing you to upgrade your skills from anywhere.

For those pursuing advanced leadership roles or academic research, an online phd leadership program can open new doors in education, management, and organizational strategy.

Best Scientists Citing Stan Sclaroff

Trending Scientists

Recently Published Articles