Debadeepta Dey

Researcher, Microsoft Research

Anytime Neural Networks via Joint Optimization of Auxiliary Losses

Preprint 2017
Hanzhang Hu, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert

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Submodular Trajectory Optimization for Aerial 3D Scanning

International Conference on Computer Vision (ICCV) 2017
Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi

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Adaptive Information Gathering via Imitation Learning

Robotics Science and Sysems (RSS) 2017
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, Debadeepta Dey

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Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

CVPR 2017 (Oral)
Artem Rozantsev, Sudipta Sinha, Debadeepta Dey, Pascal Fua

ARXIV

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AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

Field and Service Robotics (FSR) 2017
Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor

ArXiv

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Risk-Aware Algorithms for Adversarial Contextual Bandits

International Conference on Machine Learning (ICML) 2017
Wen Sun, Debadeepta Dey, Ashish Kapoor

ArXiv

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No-Regret Replanning Under Uncertainty

ICRA 2017
Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor

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Learning to Gather Information via Imitation

ICRA 2017
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey

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Probabilistic Safety Programs

Preprint 2016
Ashish Kapoor, Debadeepta Dey, Shital Shah

ArXiv

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Robust Monocular Flight in Cluttered Outdoor Environments

Workshop on Vision-based High Speed Autonomous Navigation of UAVs, IROS 2016
Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert

ArXiv Video

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Towards Fast Safe Motion Planning

Robotics Science and System Workshop on Task and Motion Planning, 2016
Debadeepta Dey, Dorsa Sadigh, Ashish Kapoor

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Predicting Sets and Lists: Theory and Practice

PhD Thesis, The Robotics Institute, Carnegie Mellon University, 2016
Debadeepta Dey

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Predicting Multiple Visual Structured Predictions

International Conference on Computer Vision (ICCV) 2015
Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell

PDF, Supplementary

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Vision and Learning for Deliberative Monocular Cluttered Flight

Field and Service Robotics (FSR), 2015
Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell

PDF, Video

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Gauss Meets Canadian Traveler: Shortest-Path Problems with Correlated Natural Dynamics

Autonomous Agents and Multi-Agent Systems (AAMAS), 2013
Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor

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Learning Policies for Contextual Submodular Prediction

International Conference on Machine Learning (ICML), 2013
Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell

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Learning Monocular Reactive UAV Control in Cluttered Natural Environments

International Conference on Robotics and Automation (ICRA), 2013
Stephane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert

PDF Video

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Contextual Sequence Prediction via Submodular Function Optimization

Robotics Science and Systems (RSS), 2012
Debadeepta Dey, Tommy Liu, Martial Hebert, J. Andrew Bagnell

PDF TECHNICAL REPORT

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Efficient Optimization of Control Libraries

Association for the Advancement of Artificial Intelligence (AAAI), 2012
Debadeepta Dey, Tommy Liu, Boris Sofman, J. Andrew Bagnell

PDF TECHNICAL REPORT

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Classification of Plant Structures from Uncalibrated Image Sequences

Workshop on Applications of Computer Vision (WACV), 2012
Debadeepta Dey, Lily Mummert, Rahul Sukthankar

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A Cascaded Method to Detect Aircraft In Video Imagery

International Journal of Robotics Research (IJRR), 2011
Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matt Digioia

PDF, Extended Technical Report, Video

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Passive Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System

Field and Service Robotis (FSR), 2009
Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matt Digioia

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