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Computer Science

D-Index
46
Citations
13697
World Ranking
6692
National Ranking
16

Overview

John P. Lewis is affiliated with Victoria University of Wellington in New Zealand. Their research work is primarily situated within the fields of Computer Science and Engineering, with notable contributions spanning subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Geophysics, Computational Mechanics, and Control and Systems Engineering.

The scientist's research interests cover a range of topics including 3D Shape Modeling and Analysis, Face Recognition and Analysis, Domain Adaptation and Few-Shot Learning, Electromagnetic Simulation and Numerical Methods, Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, and Human Pose and Action Recognition.

Recent published papers include:

  • The HSIC Bottleneck: Deep Learning without Back-Propagation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Rural recruitment issues: A Cumbrian perspective, 2021, BDJ In Practice
  • A Late Cretaceous Adakitic intrusion from Northern Haiti: additional evidence for slab melting and implications for migration of ridge-trench-trench triple junction during the Cretaceous in the Greater Antilles, 2021, International Geology Review
  • PD64-09 A NOVEL NUCLEAR PROTEIN AS A THERAPEUTIC TARGET TO BLOCK METASTASIS OF CLEAR CELL RENAL CELL CARCINOMA (RCC), 2020, The Journal of Urology
  • NewsStories: Illustrating articles with visual summaries, 2022, arXiv (Cornell University)

Frequent coauthors in their collaborative network include W. Bastiaan Kleijn, Guoqiang Zhang, Wan-Duo Kurt, Reuben Tan, and Bryan A. Plummer.

The scholar has published predominantly in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, BDJ In Practice, International Geology Review, and The Journal of Urology.

Best Publications

  • A Database and Evaluation Methodology for Optical Flow

    Simon Baker;Daniel Scharstein;J. P. Lewis;Stefan Roth

  • A Database and Evaluation Methodology for Optical Flow

    S. Baker;D. Scharstein;J.P. Lewis;S. Roth

  • Fast Normalized Cross-Correlation

    J. P. Lewis

  • Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation

    J. P. Lewis;Matt Cordner;Nickson Fong

  • Learning Optical Flow

    Deqing Sun;Stefan Roth;J. P. Lewis;Michael J. Black

  • Algorithms for solid noise synthesis

    J. P. Lewis

  • The shattered gradients problem: if resnets are the answer, then what is the question?

    David Balduzzi;Marcus Frean;Lennox Leary;J P Lewis

  • Practice and Theory of Blendshape Facial Models

    John P. Lewis;Ken Anjyo;Taehyun Rhee;Mengjie Zhang

  • Selecting good views of high-dimensional data using class consistency

    Mike Sips;Boris Neubert;John P. Lewis;Pat Hanrahan

  • A Survey of Procedural Noise Functions

    Ares Lagae;Sylvain Lefebvre;Robert L. Cook;Tony DeRose

  • Generalized stochastic subdivision

    J. P. Lewis

  • NASA: Neural Articulated Shape Approximation

    Boyang Deng;John P. Lewis;Timothy Jeruzalski;Gerard Pons-Moll

  • Automated lip-synch and speech synthesis for character animation

    J. P. Lewis;F. I. Parke

  • The Shattered Gradients Problem: If resnets are the answer, then what is the question?.

    David Balduzzi;Marcus Frean;Lennox Leary;JP Lewis

  • Automated lip-sync: Background and techniques

    John Lewis

  • Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces

    Z. Deng;U. Neumann;J.P. Lewis;T.-Y. Kim

  • Skinning: real-time shape deformation (full text not available)

    Alec Jacobson;Zhigang Deng;Ladislav Kavan;J. P. Lewis

  • Direct Manipulation Blendshapes

    J P Lewis;Ken-ichi Anjyo

  • Realistic human face rendering for "The Matrix Reloaded"

    George Borshukov;J. P. Lewis

  • Texture synthesis for digital painting

    Unknown

  • The Future of Disaster Response: Humans Working with Multiagent Teams using DEFACTO.

    Nathan Schurr;Janusz Marecki;Milind Tambe;Paul Scerri

  • The HSIC Bottleneck: Deep Learning without Back-Propagation

    Wan-Duo Kurt Ma;J. P. Lewis;W. Bastiaan Kleijn

  • Real-Time Weighted Pose-Space Deformation on the GPU

    Taehyun Rhee;John P. Lewis;Ulrich Neumann

Frequent Co-Authors

Ulrich Neumann
Ulrich Neumann University of Southern California
Zhigang Deng
Zhigang Deng University of Houston
Milind Tambe
Milind Tambe Harvard University
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Stefan Roth
Stefan Roth Technical University of Darmstadt
W. Bastiaan Kleijn
W. Bastiaan Kleijn Victoria University of Wellington
George Drettakis
George Drettakis French Institute for Research in Computer Science and Automation - INRIA
Tony DeRose
Tony DeRose University of Washington
Jeremy N. Bailenson
Jeremy N. Bailenson Stanford University

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