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Allan D. Jepson

Allan D. Jepson

D-Index & Metrics

Computer Science

D-Index
55
Citations
14445
World Ranking
4251
National Ranking
167

Overview

Allan D. Jepson is affiliated with Samsung in South Korea, with a research focus primarily in the field of Computer Science. Their work spans several prominent subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

The scientist's publication record includes contributions to multiple areas of interest:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization
  • Natural Language Processing Techniques
  • Industrial Vision Systems and Defect Detection
  • Medical Image Segmentation Techniques
  • Music and Audio Processing

Jepson has published extensively, with papers appearing primarily in the venue arXiv (Cornell University), where they have seven publications. Additionally, their work has appeared in IEEE Transactions on Pattern Analysis and Machine Intelligence and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Selected recent publications include:

  • "Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers" (2021, arXiv (Cornell University))
  • "P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • "P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision" (2022, arXiv (Cornell University))
  • "Shape-Based Measures Improve Scene Categorization" (2023, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos" (2023, arXiv (Cornell University))

Frequent coauthors include:

  • Isma Hadji
  • Nikita Dvornik
  • Konstantinos G. Derpanis
  • Richard P. Wildes
  • Haï Vu Pham

The research contributions of Allan D. Jepson focus on algorithmic techniques and applications in video understanding, machine learning, and computer vision systems. Their work on procedural video planning and step discovery highlights a combination of probabilistic modeling and self-supervised learning methodologies.

Best Publications

  • Computation of component image velocity from local phase information

    David J. Fleet;A. D. Jepson

  • Robust online appearance models for visual tracking

    A.D. Jepson;D.J. Fleet;T.F. El-Maraghi

  • EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation

    Michael J. Black;Allan D. Jepson

  • EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation

    Michael J. Black;Allan D. Jepson;Allan D. Jepson

  • Subspace methods for recovering rigid motion I: algorithm and implementation

    David J. Heeger;David J. Heeger;Allan D. Jepson

  • Phase-based disparity measurement

    David J. Fleet;Allan D. Jepson;Michael R. M. Jenkin

  • Mixture models for optical flow computation

    A. Jepson;M.J. Black

  • Stability of phase information

    D.J. Fleet;A.D. Jepson

  • A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions

    Michael J. Black;Allan D. Jepson

  • Estimating optical flow in segmented images using variable-order parametric models with local deformations

    M.J. Black;A.D. Jepson

  • Robust online appearance models for visual tracking

    A.D. Jepson;D.J. Fleet;T.R. El-Maraghi

  • Benchmarking Image Segmentation Algorithms

    Francisco J. Estrada;Allan D. Jepson

  • Skin and bones: multi-layer, locally affine, optical flow and regularization with transparency

    S. X. Ju;M.J. Black;A.D. Jepson

  • Apparatus and method for identifying and tracking objects with view-based representations

    Michael J. Black;Allan D. Jepson

  • Multi-scale phase-based local features

    G. Carneiro;A.D. Jepson

  • From [R,G,B] to surface reflectance: computing color constant descriptors in images

    Ron Gershon;Allan D. Jepson;John K. Tsotsos

  • Learning parameterized models of image motion

    M.J. Black;Y. Yacoob;A.D. Jepson;D.J. Fleet

  • Generative modeling for continuous non-linearly embedded visual inference

    Cristian Sminchisescu;Allan Jepson

  • Ambient illumination and the determination of material changes

    Ron Gershon;Allan D. Jepson;John K. Tsotsos

  • Techniques for disparity measurement

    Michael R. M. Jenkin;Allen D. Jepson;John K. Tsotsos

Frequent Co-Authors

David J. Fleet
David J. Fleet University of Toronto
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
John K. Tsotsos
John K. Tsotsos York University
Sven Dickinson
Sven Dickinson University of Toronto
Kaleem Siddiqi
Kaleem Siddiqi McGill University
Gustavo Carneiro
Gustavo Carneiro University of Surrey
David J. Heeger
David J. Heeger New York University
Cristian Sminchisescu
Cristian Sminchisescu Google (United States)
Evangelos E. Milios
Evangelos E. Milios Dalhousie University

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