Sergio Guadarrama

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Soavtorji

Trevor DarrellProfessor of Computer Science, U.C. BerkeleyPreverjeni e-poštni naslov na eecs.berkeley.edu
Jeff DonahueResearch Scientist, DeepMindPreverjeni e-poštni naslov na google.com
Kate SaenkoBoston UniversityPreverjeni e-poštni naslov na bu.edu
Ross GirshickCo-Founder at VerceptPreverjeni e-poštni naslov na vercept.com
Kevin MurphyResearch Scientist, GooglePreverjeni e-poštni naslov na google.com
Yangqing JiaFounder, Lepton AIPreverjeni e-poštni naslov na daggerfs.com
Anoop KorattikaraGooglePreverjeni e-poštni naslov na google.com
Sergey KarayevPreverjeni e-poštni naslov na berkeley.edu
Evan ShelhamerUBC / Vector Institute / Google DeepMindPreverjeni e-poštni naslov na cs.ubc.ca
Alireza FathiGoogle DeepMindPreverjeni e-poštni naslov na cs.stanford.edu
Zbigniew WojnaTwo SigmaPreverjeni e-poštni naslov na twosigma.com
Subhashini VenugopalanUniversity of Texas at AustinPreverjeni e-poštni naslov na cs.utexas.edu
Vivek RathodSoftware Engineer, GooglePreverjeni e-poštni naslov na google.com
Jonathan HuangScaled FoundationsPreverjeni e-poštni naslov na scaledfoundations.ai
Menglong ZhuDirector of Machine Learning, DJIPreverjeni e-poštni naslov na dji.com
Yang SongGoogle Inc.Preverjeni e-poštni naslov na google.com
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyPreverjeni e-poštni naslov na tu-darmstadt.de
Lisa Anne M HendricksDeepMindPreverjeni e-poštni naslov na google.com
Nathan SilbermanArteraPreverjeni e-poštni naslov na cs.nyu.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinPreverjeni e-poštni naslov na cs.utexas.edu

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Sergio Guadarrama

Senior Staff Research Engineer at Google DeepMind

Preverjeni e-poštni naslov na google.com - Domača stran

Reinforcement Learning AI for Chip Design Machine Learning NLP


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Caffe: Convolutional architecture for fast feature embedding Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ... Proceedings of the 22nd ACM international conference on Multimedia, 675-678, 2014	18541	2014
Long-term recurrent convolutional networks for visual recognition and description J Donahue, L Anne Hendricks, S Guadarrama, M Rohrbach, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015	8186	2015
Speed/accuracy trade-offs for modern convolutional object detectors J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017	3623	2017
Improved image captioning via policy gradient optimization of spider S Liu, Z Zhu, N Ye, S Guadarrama, K Murphy Proceedings of the IEEE international conference on computer vision, 873-881, 2017	639*	2017
Youtube2text: Recognizing and describing arbitrary activities using semantic hierarchies and zero-shot recognition S Guadarrama, N Krishnamoorthy, G Malkarnenkar, S Venugopalan, ... Proceedings of the IEEE international conference on computer vision, 2712-2719, 2013	634	2013
Im2Calories: towards an automated mobile vision food diary A Meyers, N Johnston, V Rathod, A Korattikara, A Gorban, N Silberman, ... Proceedings of the IEEE international conference on computer vision, 1233-1241, 2015	577	2015
Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proceedings of the European conference on computer vision (ECCV), 391-408, 2018	488	2018
LSDA: Large scale detection through adaptation J Hoffman, S Guadarrama, ES Tzeng, R Hu, J Donahue, R Girshick, ... Advances in neural information processing systems 27, 2014	389	2014
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge N Krishnamoorthy, G Malkarnenkar, R Mooney, K Saenko, S Guadarrama NAACL HLT 2013, 10, 2013	303	2013
What computing with words means to me [discussion forum] JM Mendel, LA Zadeh, E Trillas, R Yager, J Lawry, H Hagras, ... IEEE computational intelligence magazine 5 (1), 20-26, 2010	280	2010
Integrating language and vision to generate natural language descriptions of videos in the wild J Thomason, S Venugopalan, S Guadarrama, K Saenko, R Mooney Proceedings of coling 2014, the 25th international conference on …, 2014	273	2014
Semantic instance segmentation via deep metric learning A Fathi, Z Wojna, V Rathod, P Wang, HO Song, S Guadarrama, ... arXiv preprint arXiv:1703.10277, 2017	254	2017
Multi-game decision transformers KH Lee, O Nachum, MS Yang, L Lee, D Freeman, S Guadarrama, ... Advances in Neural Information Processing Systems 35, 27921-27936, 2022	250	2022
TF-Agents: A library for reinforcement learning in tensorflow S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ... GitHub repository, 2018	201	2018
Grounding spatial relations for human-robot interaction S Guadarrama, L Riano, D Golland, D Go, Y Jia, D Klein, P Abbeel, ... 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	184	2013
The devil is in the decoder: Classification, regression and gans Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ... International Journal of Computer Vision 127, 1694-1706, 2019	170	2019
From language to goals: Inverse reinforcement learning for vision-based instruction following J Fu, A Korattikara, S Levine, S Guadarrama arXiv preprint arXiv:1902.07742, 2019	148	2019
Fuzzy Prolog: A new approach using soft constraints propagation S Guadarrama, S Munoz, C Vaucheret Fuzzy Sets and Systems 144 (1), 127-150, 2004	143	2004
Pixcolor: Pixel recursive colorization S Guadarrama, R Dahl, D Bieber, M Norouzi, J Shlens, K Murphy arXiv preprint arXiv:1705.07208, 2017	131	2017
Cross-modal adaptation for RGB-D detection J Hoffman, S Gupta, J Leong, S Guadarrama, T Darrell 2016 IEEE international conference on robotics and automation (ICRA), 5032-5039, 2016	109	2016

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