Chris Russell 个人学术档案

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引用	13087	10078
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Brent MittelstadtAssociate Professor and Director of Research, University of Oxford在 oii.ox.ac.uk 的电子邮件经过验证
Sandra WachterProfessor of Technology and Regulation, University of Oxford在 oii.ox.ac.uk 的电子邮件经过验证
Philip TorrProfessor, University of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
Lourdes AgapitoProfessor, University College London在 cs.ucl.ac.uk 的电子邮件经过验证
Lubor LadickyETH Zurich在 inf.ethz.ch 的电子邮件经过验证
Pushmeet KohliDeepMind在 google.com 的电子邮件经过验证
Matt J. KusnerUniversity College London在 ucl.ac.uk 的电子邮件经过验证
Joshua LoftusLondon School of Economics在 lse.ac.uk 的电子邮件经过验证
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCL在 stats.ucl.ac.uk 的电子邮件经过验证
Richard BowdenProfessor of Computer Vision and Machine Learning, CVSSP, University of Surrey在 surrey.ac.uk 的电子邮件经过验证
Stephen Lawuniversity college london / alan turing institute在 turing.ac.uk 的电子邮件经过验证
Francesco LocatelloAssistant Professor, ISTA在 ista.ac.at 的电子邮件经过验证
Matthäus KleindessnerAmazon AWS Tübingen在 amazon.com 的电子邮件经过验证
Brooks PaigeAssociate Professor, University College London在 ucl.ac.uk 的电子邮件经过验证
Andrew ElliottLecturer, Department of Maths and Statistics, University of Glasgow在 turing.ac.uk 的电子邮件经过验证
Avishkar SahaUniversity of Surrey, MireloAI在 mirelo.ai 的电子邮件经过验证
Simon HadfieldCentre For Vision Speech and Signal Processing, University of Surrey在 surrey.ac.uk 的电子邮件经过验证
Rui YuUniversity College London在 cs.ucl.ac.uk 的电子邮件经过验证
Oscar MendezAssistant Professor in Robotics and Artificial Intelligence, University of Surrey在 oscarmendez.co.uk 的电子邮件经过验证
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证

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Chris Russell

Associate Professor, University of Oxford

在 oii.ox.ac.uk 的电子邮件经过验证 - 首页

Ethical Machine Learning Computer Vision Optimisation Ethical AI


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR S Wachter, B Mittelstadt, C Russell Harvard Journal of Law & Technology 31 (2), 2018	2891	2018
Counterfactual fairness MJ Kusner, J Loftus, C Russell, R Silva Advances in neural information processing systems 30, 2017	1948	2017
Associative hierarchical crfs for object class image segmentation L Ladicky, C Russell, P Kohli, PHS Torr Computer Vision, 2009 IEEE 12th International Conference on, 739-746, 2009	826	2009
Explaining explanations in AI B Mittelstadt, C Russell, S Wachter Proceedings of the conference on fairness, accountability, and transparency …, 2019	809	2019
Veegan: Reducing mode collapse in gans using implicit variational learning A Srivastava, L Valkov, C Russell, MU Gutmann, C Sutton Advances in neural information processing systems 30, 2017	787	2017
Lifting from the deep: Convolutional 3d pose estimation from a single image D Tome, C Russell, L Agapito Proceedings of the IEEE conference on computer vision and pattern …, 2017	614	2017
Graph cut based inference with co-occurrence statistics L Ladicky, C Russell, P Kohli, P Torr Computer Vision–ECCV 2010, 239-253, 2010	443	2010
What, where and how many? combining object detectors and crfs Ľ Ladický, P Sturgess, K Alahari, C Russell, PHS Torr Computer Vision–ECCV 2010, 424-437, 2010	425	2010
Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI S Wachter, B Mittelstadt, C Russell Computer Law & Security Review 41, 105567, 2021	332	2021
Efficient search for diverse coherent explanations C Russell Proceedings of the conference on fairness, accountability, and transparency …, 2019	263	2019
Joint optimization for object class segmentation and dense stereo reconstruction L Ladický, P Sturgess, C Russell, S Sengupta, Y Bastanlar, W Clocksin, ... International Journal of Computer Vision 100, 122-133, 2012	239	2012
Take a look around: using street view and satellite images to estimate house prices S Law, B Paige, C Russell ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-19, 2019	236	2019
When worlds collide: integrating different counterfactual assumptions in fairness C Russell, MJ Kusner, J Loftus, R Silva Advances in neural information processing systems 30, 2017	206	2017
Looking beyond the image: Unsupervised learning for object saliency and detection P Siva, C Russell, T Xiang, L Agapito Proceedings of the IEEE conference on computer vision and pattern …, 2013	201	2013
Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law S Wachter, B Mittelstadt, C Russell W. Va. L. Rev. 123, 735, 2021	179	2021
F-formation detection: Individuating free-standing conversational groups in images F Setti, C Russell, C Bassetti, M Cristani PloS one 10 (5), e0123783, 2015	173	2015
Seasonal Arctic sea ice forecasting with probabilistic deep learning TR Andersson, JS Hosking, M Pérez-Ortiz, B Paige, A Elliott, C Russell, ... Nature communications 12 (1), 5124, 2021	169	2021
Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018	160	2018
In Defence of Negative Mining for Annotating Weakly Labelled Data P Siva, C Russell, T Xiang ECCV, 2012	160	2012
Translating images into maps A Saha, O Mendez, C Russell, R Bowden 2022 International conference on robotics and automation (ICRA), 9200-9206, 2022	140	2022

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