Chris Russell

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Citations	7734	5826
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Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Lourdes AgapitoProfessor, University College LondonVerified email at cs.ucl.ac.uk
Lubor LadickyETH ZurichVerified email at inf.ethz.ch
Brent MittelstadtSenior Research Fellow, University of OxfordVerified email at oii.ox.ac.uk
Sandra WachterAssociate Professor and Senior Research Fellow, University of OxfordVerified email at oii.ox.ac.uk
Pushmeet KohliDeepMindVerified email at google.com
Matt J. KusnerAssociate Professor, University 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
Rui YuUniversity College LondonVerified email at cs.ucl.ac.uk
Denis Tome'EpicGames ResearchVerified email at epicgames.com
Karteek AlahariInriaVerified email at inria.fr
Neill D.F. CampbellRoyal Society Industry Fellow and Reader (Associate Professor), University of BathVerified email at bath.ac.uk
Brooks PaigeAssociate Professor, University College LondonVerified email at ucl.ac.uk
Joao FayadOwl LabsVerified email at owllabs.com
Parthipan SivaMachine learning researcher, Co-founder, Chirp IncVerified email at mychirp.com
Tao XiangUniversity of SurreyVerified email at surrey.ac.uk
Francesco SettiUniversity of VeronaVerified email at univr.it
Yalin BastanlarComputer Eng. Dept., Izmir Institute of TechnologyVerified email at iyte.edu.tr
Sunando SenguptaMicrosoftVerified email at microsoft.com

Chris Russell

Amazon

Verified email at turing.ac.uk - Homepage

Computer Vision Optimisation Ethical Machine Learning


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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	1304	2018
Counterfactual fairness MJ Kusner, J Loftus, C Russell, R Silva Advances in neural information processing systems 30, 2017	988	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	785	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	494	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	477	2017
Graph cut based inference with co-occurrence statistics L Ladicky, C Russell, P Kohli, P Torr Computer Vision–ECCV 2010, 239-253, 2010	433	2010
Explaining explanations in AI B Mittelstadt, C Russell, S Wachter Proceedings of the conference on fairness, accountability, and transparency …, 2019	422	2019
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	410	2010
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 (2), 122-133, 2012	233	2012
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	187	2013
In Defence of Negative Mining for Annotating Weakly Labelled Data P Siva, C Russell, T Xiang ECCV, 2012	153	2012
F-formation detection: Individuating free-standing conversational groups in images F Setti, C Russell, C Bassetti, M Cristani PloS one 10 (5), e0123783, 2015	130	2015
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	128	2017
Efficient search for diverse coherent explanations C Russell Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019	127	2019
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	120	2013
Video pop-up: Monocular 3d reconstruction of dynamic scenes C Russell, R Yu, L Agapito European conference on computer vision, 583-598, 2014	115	2014
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	108	2019
Energy based multiple model fitting for non-rigid structure from motion C Russell, J Fayad, L Agapito Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011	93	2011
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	91	2021
Causal reasoning for algorithmic fairness JR Loftus, C Russell, MJ Kusner, R Silva arXiv preprint arXiv:1805.05859, 2018	91	2018

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