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D-Index & Metrics

Computer Science

D-Index
35
Citations
10363
World Ranking
11439
National Ranking
723

Overview

Chris Russell is affiliated with the University of Oxford in the United Kingdom. Their research primarily spans the field of Computer Science, with a strong focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Safety Research, Sociology and Political Science, and Media Technology.

Their work covers a range of topics, particularly:

  • Advanced Vision and Imaging
  • Ethics and Social Impacts of AI
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Generative Adversarial Networks and Image Synthesis

Chris Russell's recent papers include:

  • Seasonal Arctic sea ice forecasting with probabilistic deep learning, 2021, Nature Communications
  • Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI, 2021, Computer Law & Security Review
  • Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law, 2021, SSRN Electronic Journal
  • Translating Images into Maps, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • To protect science, we must use LLMs as zero-shot translators, 2023, Nature Human Behaviour

Their frequent co-authors include Brent Mittelstadt, Richard Bowden, Sandra Wachter, Francesco Locatello, and Bernhard Schölkopf, reflecting a collaborative approach in their research projects.

Chris Russell has published predominantly in venues such as arXiv, SSRN Electronic Journal, Zenodo, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and Nature Communications.

Best Publications

  • Counterfactual Explanations without Opening the Black Box: Automated Decisions and the Gdpr

    Sandra Wachter;Brent Mittelstadt;Christopher Russell

  • Counterfactual fairness

    Matt Kusner;Joshua Loftus;Chris Russell;Ricardo Silva

  • Associative hierarchical CRFs for object class image segmentation

    L'ubor Ladicky;Chris Russell;Pushmeet Kohli;Philip H.S. Torr

  • VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

    Akash Srivastava;Lazar Valkov;Chris Russell;Michael U. Gutmann

  • Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

    Denis Tome;Chris Russell;Lourdes Agapito

  • Graph cut based inference with co-occurrence statistics

    Lubor Ladicky;Chris Russell;Pushmeet Kohli;Philip H. S. Torr

  • What, where and how many? combining object detectors and CRFs

    L'ubor Ladický;Paul Sturgess;Karteek Alahari;Chris Russell

  • Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI

    Sandra Wachter;Sandra Wachter;Sandra Wachter;Brent D. Mittelstadt;Brent D. Mittelstadt;Chris Russell;Chris Russell

  • Seasonal Arctic sea ice forecasting with probabilistic deep learning.

    Tom R. Andersson;J. Scott Hosking;J. Scott Hosking;María Pérez-Ortiz;Brooks Paige;Brooks Paige

  • Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction

    Lubor Ladický;Paul Sturgess;Chris Russell;Sunando Sengupta

  • Take a Look Around: Using Street View and Satellite Images to Estimate House Prices

    Stephen Law;Brooks Paige;Chris Russell

  • Efficient Search for Diverse Coherent Explanations

    Chris Russell

  • Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection

    Parthipan Siva;Chris Russell;Tao Xiang;Lourdes Agapito

  • Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law

    Sandra Wachter;Brent Mittelstadt;Chris Russell

  • When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness

    Chris Russell;Matt J. Kusner;Joshua R. Loftus;Ricardo Silva

  • F-Formation Detection: Individuating Free-Standing Conversational Groups in Images

    Francesco Setti;Chris Russell;Chiara Bassetti;Marco Cristani

  • In defence of negative mining for annotating weakly labelled data

    Parthipan Siva;Chris Russell;Tao Xiang

  • Translating Images into Maps.

    Avishkar Saha;Oscar Mendez Maldonado;Chris Russell;Richard Bowden

  • Associative Hierarchical Random Fields

    L'ubor Ladicky;Chris Russell;Pushmeet Kohli;Philip H. S. Torr

  • Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes

    Chris Russell;Rui Yu;Lourdes Agapito

  • Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video

    Rui Yu;Chris Russell;Neill D. F. Campbell;Lourdes Agapito

  • Energy based multiple model fitting for non-rigid structure from motion

    Chris Russell;Joao Fayad;Lourdes Agapito

Frequent Co-Authors

Lourdes Agapito
Lourdes Agapito University College London
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Rui Yu
Rui Yu Eindhoven University of Technology
Richard Bowden
Richard Bowden University of Surrey
Marco Cristani
Marco Cristani University of Verona
Nicholas Asher
Nicholas Asher Toulouse Institute of Computer Science Research
Mark J. Walker
Mark J. Walker University of Queensland
Lesley Fallowfield
Lesley Fallowfield University of Sussex

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