Debadeepta Dey
Debadeepta Dey
Principal Researcher, Microsoft Research AI // Affiliate Assistant Professor, UW
Verified email at - Homepage
TitleCited byYear
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
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
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
Contextual Sequence Prediction with Application to Control Library Optimization
D Dey, TY Liu, M Hebert, JA Bagnell
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
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
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
Learning policies for contextual submodular prediction
S Ross, J Zhou, Y Yue, D Dey, JA Bagnell
arXiv preprint arXiv:1305.2532, 2013
Efficient Optimization of Control Libraries
D Dey, TY Liu, B Sofman, D Bagnell
Technical Report (CMU-RI-TR-11-20), 2011
Prototype sense-and-avoid system for UAVs
C Geyer, D Dey, S Singh
Robotics Institute, Carnegie Mellon University, 2009
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
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
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
Learning to gather information via imitation
S Choudhury, A Kapoor, G Ranade, D Dey
2017 IEEE International Conference on Robotics and Automation (ICRA), 908-915, 2017
Adaptive information gathering via imitation learning
S Choudhury, A Kapoor, G Ranade, S Scherer, D Dey
arXiv preprint arXiv:1705.07834, 2017
Log-DenseNet: How to sparsify a densenet
H Hu, D Dey, A Del Giorno, M Hebert, JA Bagnell
arXiv preprint arXiv:1711.00002, 2017
Anytime neural networks via joint optimization of auxiliary losses
H Hu, D Dey, JA Bagnell, M Hebert
arXiv preprint arXiv 1708, 2017
Safety-aware algorithms for adversarial contextual bandit
W Sun, D Dey, A Kapoor
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
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