Chris Russell

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Brent MittelstadtAssociate Professor and Director of Research, University of OxfordVerified email at oii.ox.ac.uk
Sandra WachterProfessor of Technology and Regulation, University of OxfordVerified email at oii.ox.ac.uk
Lourdes AgapitoProfessor, University College LondonVerified email at cs.ucl.ac.uk
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Lubor LadickyETH ZurichVerified email at inf.ethz.ch
Pushmeet KohliDeepMindVerified email at google.com
Matt J. KusnerUniversity College LondonVerified email at ucl.ac.uk
Joshua LoftusAssistant Professor, London School of EconomicsVerified email at lse.ac.uk
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCLVerified email at stats.ucl.ac.uk
Richard BowdenProfessor of Computer Vision and Machine Learning, CVSSP, University of SurreyVerified email at surrey.ac.uk
Stephen Lawuniversity college london / alan turing instituteVerified email at turing.ac.uk
Matthäus KleindessnerAmazon AWS TübingenVerified email at amazon.com
Brooks PaigeAssociate Professor, University College LondonVerified email at ucl.ac.uk
Rui YuUniversity College LondonVerified email at cs.ucl.ac.uk
Francesco LocatelloAssistant Professor, ISTAVerified email at ista.ac.at
Avishkar SahaUniversity of SurreyVerified email at surrey.ac.uk
Andrew ElliottLecturer, Department of Maths and Statistics, University of GlasgowVerified email at turing.ac.uk
Michael U. GutmannUniversity of EdinburghVerified email at ed.ac.uk
Charles SuttonGoogle, University of EdinburghVerified email at inf.ed.ac.uk
Lazar ValkovMIT-IBM Watson AI LabVerified email at ibm.com

Chris Russell

Oxford Internet Institute

Verified email at oii.ox.ac.uk - Homepage

Computer Vision Optimisation Ethical Machine Learning Ethical AI


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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	2327	2018
Counterfactual fairness MJ Kusner, J Loftus, C Russell, R Silva Advances in neural information processing systems 30, 2017	1628	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	813	2009
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	710	2017
Explaining explanations in AI B Mittelstadt, C Russell, S Wachter Proceedings of the conference on fairness, accountability, and transparency …, 2019	695	2019
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	581	2017
Graph cut based inference with co-occurrence statistics L Ladicky, C Russell, P Kohli, P Torr Computer Vision–ECCV 2010, 239-253, 2010	438	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	422	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	240	2021
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	231	2012
Efficient search for diverse coherent explanations C Russell Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019	214	2019
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	198	2019
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	197	2013
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	181	2017
F-formation detection: Individuating free-standing conversational groups in images F Setti, C Russell, C Bassetti, M Cristani PloS one 10 (5), e0123783, 2015	159	2015
In Defence of Negative Mining for Annotating Weakly Labelled Data P Siva, C Russell, T Xiang ECCV, 2012	158	2012
Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018	130	2018
Video pop-up: Monocular 3d reconstruction of dynamic scenes C Russell, R Yu, L Agapito European conference on computer vision, 583-598, 2014	121	2014
Associative hierarchical random fields Ľ Ladický, C Russell, P Kohli, PHS Torr IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1056-1077, 2013	121	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	116	2021

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