Miguel Angel Bautista

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	Vse	Od leta 2020
Navedbe	2622	2016
indeks h	24	19
indeks i10	30	24

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Soavtorji

Sergio EscaleraProf., ICREA Academy, University of Barcelona, Computer Vision Center, ELLIS & IAPR & AAIA FellowPreverjeni e-poštni naslov na ub.edu
Joshua M SusskindApplePreverjeni e-poštni naslov na apple.com
Shuangfei ZhaiApple, Machine Learning ResearchPreverjeni e-poštni naslov na apple.com
Björn OmmerProfessor, Computer Vision & Learning Group (CompVis), University of MunichPreverjeni e-poštni naslov na lmu.de
Isabelle GuyonDirector of Research, Google; Prof. UPSaclay; President ChaLearnPreverjeni e-poštni naslov na chalearn.org
Artsiom SanakoyeuResearch Scientist at GenAIPreverjeni e-poštni naslov na iwr.uni-heidelberg.de
Pau RodríguezApple Machine Learning Research, ELLIS memberPreverjeni e-poštni naslov na apple.com
Nitish SrivastavaResearch Scientist, ApplePreverjeni e-poštni naslov na cs.toronto.edu
Carlos GuestrinProfessor, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Laurent DinhApplePreverjeni e-poštni naslov na apple.com
Emilien DupontResearch Scientist, DeepMindPreverjeni e-poštni naslov na stats.ox.ac.uk
Alexander SchwingUniversity of Illinois at Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
Graham TaylorUniversity of Guelph and Vector Institute for Artificial IntelligencePreverjeni e-poštni naslov na uoguelph.ca
Terrance DeVriesLuma AIPreverjeni e-poštni naslov na lumalabs.ai
Qixing HuangAssociate Professor of Computer Science, UT AustinPreverjeni e-poštni naslov na cs.utexas.edu
Fernando De la TorreResearch Associate Professor, Carnegie Mellon UniversityPreverjeni e-poštni naslov na cs.cmu.edu

Spremljaj

Miguel Angel Bautista

Druga imenaMiguel Angel Bautista Martin

Apple Machine Learning Research (MLR)

Preverjeni e-poštni naslov na apple.com

Machine Learning Computer Vision


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Beyond one-hot encoding: Lower dimensional target embedding P Rodríguez, MA Bautista, J Gonzalez, S Escalera Image and Vision Computing 75, 21-31, 2018	480	2018
Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding M Roberts, J Ramapuram, A Ranjan, A Kumar, MA Bautista, N Paczan, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	354	2021
Chalearn looking at people challenge 2014: Dataset and results S Escalera, X Baró, J Gonzalez, MA Bautista, M Madadi, M Reyes, ... Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015	321	2015
Unconstrained scene generation with locally conditioned radiance fields T DeVries, MA Bautista, N Srivastava, GW Taylor, JM Susskind Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	156	2021
Gaudi: A neural architect for immersive 3d scene generation MA Bautista, P Guo, S Abnar, W Talbott, A Toshev, Z Chen, L Dinh, S Zhai, ... Advances in Neural Information Processing Systems 35, 25102-25116, 2022	134	2022
CliqueCNN: Deep Unsupervised Exemplar Learning MA Bautista, A Sanakoyeu, E Tikhoncheva, B Ommer Advances In Neural Information Processing Systems, 3846-3854, 2016	131	2016
Addressing the loss-metric mismatch with adaptive loss alignment C Huang, S Zhai, W Talbott, MA Bautista, SY Sun, C Guestrin, J Susskind International Conference on Machine Learning, 2891-2900, 2019	97	2019
Probability-based dynamic time warping and bag-of-visual-and-depth-words for human gesture recognition in rgb-d A Hernández-Vela, MA Bautista, X Perez-Sala, V Ponce-Lopez, ... Pattern Recognition Letters 50, 112-121, 2014	77	2014
Equivariant neural rendering E Dupont, MA Bautista, A Colburn, A Sankar, J Susskind, Q Shan International Conference on Machine Learning, 2761-2770, 2020	76	2020
A gesture recognition system for detecting behavioral patterns of ADHD MA Bautista, A Hernández-Vela, S Escalera, L Igual, O Pujol, J Moya, ... IEEE transactions on cybernetics 46 (1), 136-147, 2015	67	2015
Minimal Design of Error-Correcting Output Codes MÁ Bautista, S Escalera, X Baró, P Radeva, J Vitriá, O Pujol Pattern Recognition Letters 33 (6), 693-702, 2011	59	2011
Learning to forecast pedestrian intention from pose dynamics O Ghori, R Mackowiak, MA Bautista, N Beuter, L Drumond, F Diego, ... 2018 IEEE Intelligent Vehicles Symposium (IV), 1277-1284, 2018	58	2018
Scalable pre-training of large autoregressive image models A El-Nouby, M Klein, S Zhai, MA Bautista, A Toshev, V Shankar, ... arXiv preprint arXiv:2401.08541, 2024	56	2024
Probability-based Dynamic Time Warping for Gesture Recognition on RGB-D data MA Bautista, A Hernández-Vela, V Ponce, X Perez-Sala, X Baró, O Pujol, ... International Conference on Pattern Recogntion Workshops, Advances in Depth …, 2012	56	2012
BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition A Hernández-Vela, MA Bautista, X Perez-Sala, V Ponce, X Baró, O Pujol, ... Proceedings of the 21st International Conference on Pattern Recognition …, 2012	49	2012
ChaLearn Looking at People 2015 Challenges: Action Spotting and Cultural Event Recognition X Baro, J Gonzalez, J Fabian, MA Bautista, M Oliu, HJ Escalante, I Guyon, ... IEEE Computer Vision and Pattern Recognition Workshops, 2015	47	2015
Deep unsupervised learning of visual similarities A Sanakoyeu, MA Bautista, B Ommer Pattern Recognition 78, 331-343, 2018	41	2018
On the generalization of learning-based 3d reconstruction MA Bautista, W Talbott, S Zhai, N Srivastava, JM Susskind Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021	36	2021
Fast and explicit neural view synthesis P Guo, MA Bautista, A Colburn, L Yang, D Ulbricht, JM Susskind, Q Shan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	34	2022
Deep Unsupervised Similarity Learning using Partially Ordered Sets MA Bautista, A Sanakoyeu, B Ommer IEEE CVPR, 2017	34	2017

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