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Computer Science

D-Index
35
Citations
5054
World Ranking
11727
National Ranking
739

Overview

John Collomosse is affiliated with the University of Surrey in the United Kingdom and specializes primarily in Computer Science. Their research focuses extensively on Computer Vision and Pattern Recognition, with additional work in Artificial Intelligence, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience, and Signal Processing.

The scientist's work spans several main topics including:

  • Generative Adversarial Networks and Image Synthesis
  • Image Retrieval and Classification Techniques
  • Digital Media Forensic Detection
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization
  • Advanced Image and Video Retrieval Techniques
  • Computer Graphics and Visualization Techniques

John Collomosse has published in several venues, with a significant number of their works appearing in arXiv (Cornell University). Other frequent publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the Journal of Biomedical Informatics, and Computers & Graphics.

Notable recent papers include:

  • Deep learning with wearable based heart rate variability for prediction of mental and general health (2020), Journal of Biomedical Informatics
  • Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction (2020), arXiv (Cornell University)
  • Sketchformer: Transformer-Based Representation for Sketched Structure (2020), Surrey Open Research repository (University of Surrey)
  • ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Neural architecture search for deep image prior (2021), Computers & Graphics

Frequent co-authors in their work include Tu Bui, Dan Ruta, Andrew Gilbert, Zhe Lin, and Hailin Jin. These collaborative relationships have contributed to a diverse and sustained research output in the field.

Best Publications

  • A performance evaluation of gradient field HOG descriptor for sketch based image retrieval

    Rui Hu;John Collomosse

  • State of the "Art”: A Taxonomy of Artistic Stylization Techniques for Images and Video

    Jan Eric Kyprianidis;J. Collomosse;Tinghuai Wang;T. Isenberg

  • Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors

    Matthew Trumble;Andrew Gilbert;Charles Malleson;Adrian Hilton

  • Gradient field descriptor for sketch based retrieval and localization

    Rui Hu;Mark Barnard;John Collomosse

  • Everything You Wanted to Know about Deep Learning for Computer Vision but Were Afraid to Ask

    Moacir Antonelli Ponti;Leonardo Sampaio Ferraz Ribeiro;Tiago Santana Nazare;Tu Bui

  • Stroke surfaces: temporally coherent artistic animations from video

    J.P. Collomosse;D. Rowntree;P.M. Hall

  • BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography

    Michael J. Wilber;Chen Fang;Hailin Jin;Aaron Hertzmann

  • Image and Video-based Artistic Stylisation

    Paul Rosin;John Collomosse

  • Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

    Tong He;John P. Collomosse;Hailin Jin;Stefano Soatto

  • Sketchformer: Transformer-Based Representation for Sketched Structure

    Leo Sampaio Ferraz Ribeiro;Tu Bui;John Collomosse;Moacir Ponti

  • Deep learning with wearable based heart rate variability for prediction of mental and general health.

    Louise V. Coutts;David Plans;Alan W. Brown;John P. Collomosse

  • 4D video textures for interactive character appearance

    Dan Casas;Marco Volino;John Collomosse;Adrian Hilton

  • TouchCut: Fast image and video segmentation using single-touch interaction

    Tinghuai Wang;Bo Han;John Collomosse

  • Real-Time Full-Body Motion Capture from Video and IMUs

    Charles Malleson;Andrew Gilbert;Matthew Trumble;John Collomosse

  • Cubist style rendering from photographs

    J.P. Collomosse;P.M. Hall

  • Compact Descriptors for Sketch-based Image Retrieval using a Triplet loss Convolutional Neural Network

    Tu Bui;Leonardo Sampaio Ferraz Ribeiro;Moacir Ponti;John P. Collomosse

  • Sketching out the details: Sketch-based image retrieval using convolutional neural networks with multi-stage regression

    Tu Bui;Leonardo Sampaio Ferraz Ribeiro;Moacir Ponti;John P. Collomosse

  • Empathic painting: interactive stylization through observed emotional state

    Maria Shugrina;Margrit Betke;John Collomosse

  • Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

    Tong He;John Collomosse;Hailin Jin;Stefano Soatto

  • A bag-of-regions approach to sketch-based image retrieval

    Rui Hu;Tinghuai Wang;John Collomosse

  • Painterly rendering using image salience

    J.P. Collomosse;P.M. Hall

Frequent Co-Authors

Hailin Jin
Hailin Jin Adobe Systems (United States)
Adrian Hilton
Adrian Hilton University of Surrey
Alan Brown
Alan Brown Harvard University
Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA
Steve Schneider
Steve Schneider University of Surrey
Paul L. Rosin
Paul L. Rosin Cardiff University
Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Yi-Zhe Song
Yi-Zhe Song University of Surrey
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Mark Brosnan
Mark Brosnan University of Bath

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