Sergio Guadarrama

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyDirección de correo verificada de eecs.berkeley.edu
Jeff DonahueResearch Scientist, DeepMindDirección de correo verificada de google.com
Kate SaenkoBoston UniversityDirección de correo verificada de bu.edu
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Dirección de correo verificada de allenai.org
Kevin MurphyResearch Scientist, GoogleDirección de correo verificada de google.com
Yangqing JiaFounder, Lepton AIDirección de correo verificada de daggerfs.com
Sergey KarayevDirección de correo verificada de berkeley.edu
Evan ShelhamerDeepMindDirección de correo verificada de deepmind.com
Anoop KorattikaraGoogleDirección de correo verificada de google.com
Alireza FathiGoogle DeepMindDirección de correo verificada de cs.stanford.edu
Ian FischerGoogle ResearchDirección de correo verificada de google.com
Zbigniew WojnaTwo SigmaDirección de correo verificada de twosigma.com
Subhashini VenugopalanUniversity of Texas at AustinDirección de correo verificada de cs.utexas.edu
Vivek RathodSoftware Engineer, GoogleDirección de correo verificada de google.com
Jonathan HuangGoogleDirección de correo verificada de google.com
Menglong ZhuDirector of Machine Learning, DJIDirección de correo verificada de dji.com
Yang SongGoogle Inc.Dirección de correo verificada de google.com
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyDirección de correo verificada de tu-darmstadt.de
Lisa Anne M HendricksDeepMindDirección de correo verificada de google.com
Nathan SilbermanArteraDirección de correo verificada de cs.nyu.edu

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Sergio Guadarrama

Senior Staff Research Engineer at Google DeepMind

Dirección de correo verificada de google.com - Página principal

Reinforcement Learning AI for Chip Design Machine Learning NLP


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	18308	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	7809	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	3516	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	616	2013
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	598*	2017
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	552	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	465	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	385	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	299	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	271	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	269	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	240	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	194	2022
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	181	2013
TF-Agents: A library for reinforcement learning in tensorflow S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ... GitHub repository, 2018	179	2018
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	167	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	141	2004
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	136	2019
Pixcolor: Pixel recursive colorization S Guadarrama, R Dahl, D Bieber, M Norouzi, J Shlens, K Murphy arXiv preprint arXiv:1705.07208, 2017	123	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	111	2016

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