Abner Guzmán Rivera

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Co-authors

Dhruv BatraFAIR (Meta AI) | Georgia TechVerified email at gatech.edu
Pushmeet KohliDeepMindVerified email at google.com
Greg ShakhnarovichProfessor, TTI-ChicagoVerified email at ttic.edu
Payman YadollahpourPostdoctoral Associate, Broad Institute of MIT and HarvardVerified email at broadinstitute.org
Toby SharpLead Software Architect, GoogleVerified email at google.com
Andrew FitzgibbonGraphcoreVerified email at fitzgibbon.ie
Shahram IzadiDirector, GoogleVerified email at google.com
Jamie ShottonWayveVerified email at wayve.ai
Rob A. RutenbarProfessor of Computer Science and Electrical and Computer Engineering, University of PittsburghVerified email at pitt.edu
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
Jaesik ChoiAssociate Professor at KAISTVerified email at kaist.ac.kr
Eyal AmirProfessor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Mei ChenTsinghua, Carnegie Mellon, SUNY, MicrosoftVerified email at albany.edu
Jungwook ChoiHanyang UniversityVerified email at hanyang.ac.kr
Onur MutluETH Zürich and Carnegie Mellon UniversityVerified email at inf.ethz.ch
Minje KimAssociate Professor at Indiana University BloomingtonVerified email at indiana.edu
Paris SmaragdisUniversity of Illinois at Urbana-Champaign / Adobe ResearchVerified email at illinois.edu
Glenn G. KoHarvard University, StochasticVerified email at seas.harvard.edu
Vijaykrishnan NarayananRobert Noll Chair Professor at The Pennsylvania State UniversityVerified email at cse.psu.edu
Ravi IyerIntelVerified email at intel.com

Abner Guzmán Rivera

University of Illinois at Urbana-Champaign

Verified email at illinois.edu - Homepage

Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Diverse m-best solutions in markov random fields D Batra, P Yadollahpour, A Guzman-Rivera, G Shakhnarovich Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	369	2012
Multiple choice learning: Learning to produce multiple structured outputs A Guzman-Rivera, D Batra, P Kohli Advances in neural information processing systems 25, 2012	201	2012
Multi-output learning for camera relocalization A Guzman-Rivera, P Kohli, B Glocker, J Shotton, T Sharp, A Fitzgibbon, ... Proceedings of the IEEE conference on computer vision and pattern …, 2014	120	2014
Efficiently enforcing diversity in multi-output structured prediction A Guzman-Rivera, P Kohli, D Batra, R Rutenbar Artificial Intelligence and Statistics, 284-292, 2014	59	2014
Lifted relational kalman filtering J Choi, A Guzman-Rivera, E Amir Twenty-Second International Joint Conference on Artificial Intelligence, 2011	47	2011
Tracking using sensor data A Guzmán-rivera, P Kohli, BM Glocker, JDJ Shotton, S Izadi, T Sharp, ... US Patent 9,613,298, 2017	32	2017
DivMCuts: Faster training of structural SVMs with diverse M-best cutting-planes A Guzman-Rivera, P Kohli, D Batra Artificial Intelligence and Statistics, 316-324, 2013	23	2013
DivMCuts: Faster training of structural SVMs with diverse M-best cutting-planes A Guzman-Rivera, P Kohli, D Batra Artificial Intelligence and Statistics, 316-324, 2013	23	2013
EMERALD: Characterization of emerging applications and algorithms for low-power devices C Zhang, GG Ko, JW Choi, S Tsai, M Kim, AG Rivera, R Rutenbar, ... 2013 IEEE International Symposium on Performance Analysis of Systems and …, 2013	2	2013
Multi-output structured learning AG Rivera University of Illinois at Urbana-Champaign, 2014		2014
Uncertainty in AI-Lifted Relational Kalman Filtering J Choi, A Guzman-Rivera, E Amir IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011		2011
Diverse M-Best Solutions in Markov Random Fields P Yadollahpour, G Shakhnarovich, A Guzman-Rivera, D Batra
Supplementary Material for “DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes” A Guzman-Rivera, P Kohli, D Batra

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