Debadeepta Dey

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Ashish KapoorCEO and Chief Scientist, Scaled FoundationsDirección de correo verificada de scaledfoundations.ai
J. Andrew BagnellCarnegie Mellon UniversityDirección de correo verificada de ri.cmu.edu
martial hebertCMUDirección de correo verificada de ri.cmu.edu
Eric HorvitzMicrosoftDirección de correo verificada de microsoft.com
Hanzhang HuCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Neel JoshiSenior Principal Research Manager, Microsoft ResearchDirección de correo verificada de microsoft.com
Sudipta N. SinhaPrincipal Researcher, MicrosoftDirección de correo verificada de microsoft.com
GIREEJA RANADEUC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Kumar Shaurya ShankarGraduate Student, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Rich CaruanaMicrosoft ResearchDirección de correo verificada de microsoft.com
Bill DolanPartner Research Manager, Microsoft ResearchDirección de correo verificada de microsoft.com
Sanjiban ChoudhuryAssistant Professor, CornellDirección de correo verificada de cornell.edu
Sanjiv SinghResearch Professor, Carnegie Mellon UniversityDirección de correo verificada de cmu.edu
Christopher GeyerBerkshire GreyDirección de correo verificada de berkshiregrey.com
Ece KamarMicrosoft ResearchDirección de correo verificada de microsoft.com
Andreas WendelKodiak Robotics | Ex-Waymo | Ex-Graz Univ of TechDirección de correo verificada de icg.tugraz.at
Shreyansh DaftryNASA Jet Propulsion Laboratory | Caltech | Ex-CMU | Ex-TU GrazDirección de correo verificada de jpl.nasa.gov
Sebastien BubeckVP GenAI Research, Microsoft AIDirección de correo verificada de microsoft.com
Subhabrata MukherjeeChief Scientist, Hippocratic AIDirección de correo verificada de hippocraticai.com
Sebastian SchererAssociate Research Professor, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu

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Debadeepta Dey

Principal Researcher, Microsoft Research | Azure AI

Dirección de correo verificada de microsoft.com - Página principal

Neural Architecture Search AutoML Robotics Control Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Airsim: High-fidelity visual and physical simulation for autonomous vehicles S Shah, D Dey, C Lovett, A Kapoor Field and Service Robotics: Results of the 11th International Conference …, 2018	2231	2018
Learning monocular reactive uav control in cluttered natural environments S Ross, N Melik-Barkhudarov, KS Shankar, A Wendel, D Dey, JA Bagnell, ... 2013 IEEE international conference on robotics and automation, 1765-1772, 2013	518	2013
Submodular trajectory optimization for aerial 3d scanning M Roberts, D Dey, A Truong, S Sinha, S Shah, A Kapoor, P Hanrahan, ... Proceedings of the IEEE International Conference on Computer Vision, 5324-5333, 2017	149	2017
Classification of plant structures from uncalibrated image sequences D Dey, L Mummert, R Sukthankar 2012 IEEE workshop on the applications of computer vision (WACV), 329-336, 2012	128	2012
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention K Nguyen, D Dey, C Brockett, B Dolan CVPR 2019, 2018	116	2018
Spoken language interaction with robots: Recommendations for future research M Marge, C Espy-Wilson, NG Ward, A Alwan, Y Artzi, M Bansal, ... Computer Speech & Language 71, 101255, 2022	105	2022
Anytime neural networks via joint optimization of auxiliary losses H Hu, D Dey, JA Bagnell, M Hebert AAAI 1708, 2017	95*	2017
Data-driven planning via imitation learning S Choudhury, M Bhardwaj, S Arora, A Kapoor, G Ranade, S Scherer, ... The International Journal of Robotics Research 37 (13-14), 1632-1672, 2018	78	2018
Airsim-w: A simulation environment for wildlife conservation with uavs E Bondi, D Dey, A Kapoor, J Piavis, S Shah, F Fang, B Dilkina, ... Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018	75	2018
Safety-aware algorithms for adversarial contextual bandit W Sun, D Dey, A Kapoor International Conference on Machine Learning, 3280-3288, 2017	75	2017
Passive, long-range detection of aircraft: Towards a field deployable sense and avoid system D Dey, C Geyer, S Singh, M Digioia Field and Service Robotics: Results of the 7th International Conference, 113-123, 2010	73	2010
Vision and learning for deliberative monocular cluttered flight D Dey, KS Shankar, S Zeng, R Mehta, MT Agcayazi, C Eriksen, S Daftry, ... Field and Service Robotics: Results of the 10th International Conference …, 2016	67	2016
A cascaded method to detect aircraft in video imagery D Dey, C Geyer, S Singh, M Digioia The International Journal of Robotics Research 30 (12), 1527-1540, 2011	59	2011
Contextual Sequence Prediction with Application to Control Library Optimization D Dey, TY Liu, M Hebert, JA Bagnell RSS, 2013	56	2013
Learn-to-score: Efficient 3d scene exploration by predicting view utility B Hepp, D Dey, SN Sinha, A Kapoor, N Joshi, O Hilliges Proceedings of the European conference on computer vision (ECCV), 437-452, 2018	55	2018
What makes convolutional models great on long sequence modeling? Y Li, T Cai, Y Zhang, D Chen, D Dey arXiv preprint arXiv:2210.09298, 2022	54	2022
Neural architecture search: Insights from 1000 papers C White, M Safari, R Sukthanker, B Ru, T Elsken, A Zela, D Dey, F Hutter arXiv preprint arXiv:2301.08727, 2023	46	2023
Efficient forward architecture search H Hu, J Langford, R Caruana, S Mukherjee, EJ Horvitz, D Dey Advances in Neural Information Processing Systems 32, 2019	43	2019
Log-densenet: How to sparsify a densenet H Hu, D Dey, A Del Giorno, M Hebert, JA Bagnell arXiv preprint arXiv:1711.00002, 2017	42	2017
Flight dynamics-based recovery of a UAV trajectory using ground cameras A Rozantsev, SN Sinha, D Dey, P Fua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	42	2017

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