Debadeepta Dey
Debadeepta Dey
Principal Researcher, Microsoft Research
Verified email at - Homepage
Cited by
Cited by
Airsim: High-fidelity visual and physical simulation for autonomous vehicles
S Shah, D Dey, C Lovett, A Kapoor
Field and service robotics, 621-635, 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
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
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
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
K Nguyen, D Dey, C Brockett, B Dolan
CVPR 2019, 2018
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, 113-123, 2010
Anytime neural networks via joint optimization of auxiliary losses
H Hu, D Dey, JA Bagnell, M Hebert
AAAI 1708, 2017
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, 391-409, 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
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
Contextual Sequence Prediction with Application to Control Library Optimization
D Dey, TY Liu, M Hebert, JA Bagnell
RSS, 2013
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
Safety-aware algorithms for adversarial contextual bandit
W Sun, D Dey, A Kapoor
International Conference on Machine Learning, 3280-3288, 2017
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
Robust monocular flight in cluttered outdoor environments
S Daftry, S Zeng, A Khan, D Dey, N Melik-Barkhudarov, JA Bagnell, ...
arXiv preprint arXiv:1604.04779, 2016
Log-densenet: How to sparsify a densenet
H Hu, D Dey, A Del Giorno, M Hebert, JA Bagnell
arXiv preprint arXiv:1711.00002, 2017
Prototype sense-and-avoid system for UAVs
C Geyer, D Dey, S Singh
Robotics Institute, Carnegie Mellon University, 2009
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
Predicting multiple structured visual interpretations
D Dey, V Ramakrishna, M Hebert, J Andrew Bagnell
Proceedings of the IEEE international conference on computer vision, 2947-2955, 2015
Learning policies for contextual submodular prediction
S Ross, J Zhou, Y Yue, D Dey, D Bagnell
International Conference on Machine Learning, 1364-1372, 2013
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