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ORCIDJ. Andrew Bagnell
- > Home > Persons > J. Andrew Bagnell
Publications
- 2019
[c109]Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell:
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. AAAI 2019: 3812-3821- 2017
- [j17]Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger
, J. Andrew Bagnell:
Autonomy infused teleoperation with application to brain computer interface controlled manipulation. Auton. Robots 41(6): 1401-1422 (2017) - [c104]Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Gradient Boosting on Stochastic Data Streams. AISTATS 2017: 595-603 - [c102]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS 2017: 1172-1183 - [i38]Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Gradient Boosting on Stochastic Data Streams. CoRR abs/1703.00377 (2017) - [i34]Hanzhang Hu, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Anytime Neural Networks via Joint Optimization of Auxiliary Losses. CoRR abs/1708.06832 (2017) - [i33]Allison Del Giorno, J. Andrew Bagnell, Martial Hebert:
Ignoring Distractors in the Absence of Labels: Optimal Linear Projection to Remove False Positives During Anomaly Detection. CoRR abs/1709.04549 (2017) - [i32]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR abs/1709.08520 (2017) - [i31]Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell:
Log-DenseNet: How to Sparsify a DenseNet. CoRR abs/1711.00002 (2017) - 2016
- [c100]Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots:
Online Instrumental Variable Regression with Applications to Online Linear System Identification. AAAI 2016: 2101-2107 - [c99]Allison Del Giorno, J. Andrew Bagnell, Martial Hebert:
A Discriminative Framework for Anomaly Detection in Large Videos. ECCV (5) 2016: 334-349 - [c95]Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell:
Inference Machines for Nonparametric Filter Learning. IJCAI 2016: 2074-2081 - [c93]Shreyansh Daftry, Sam Zeng, J. Andrew Bagnell, Martial Hebert:
Introspective perception: Learning to predict failures in vision systems. IROS 2016: 1743-1750 - [c92]Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert:
Learning Transferable Policies for Monocular Reactive MAV Control. ISER 2016: 3-11 - [c91]Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi, J. Andrew Bagnell:
Improved Learning of Dynamics Models for Control. ISER 2016: 703-713 - [c90]Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert:
Efficient Feature Group Sequencing for Anytime Linear Prediction. UAI 2016 - [i29]Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert:
Robust Monocular Flight in Cluttered Outdoor Environments. CoRR abs/1604.04779 (2016) - [i28]Shreyansh Daftry, Sam Zeng, J. Andrew Bagnell, Martial Hebert:
Introspective Perception: Learning to Predict Failures in Vision Systems. CoRR abs/1607.08665 (2016) - [i27]Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert:
Learning Transferable Policies for Monocular Reactive MAV Control. CoRR abs/1608.00627 (2016) - [i26]Allison Del Giorno, J. Andrew Bagnell, Martial Hebert:
A Discriminative Framework for Anomaly Detection in Large Videos. CoRR abs/1609.08938 (2016) - 2015
- [c85]Arun Venkatraman, Martial Hebert, J. Andrew Bagnell:
Improving Multi-Step Prediction of Learned Time Series Models. AAAI 2015: 3024-3030 - [c81]Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell:
Vision and Learning for Deliberative Monocular Cluttered Flight. FSR 2015: 391-409 - [c80]Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell:
Predicting Multiple Structured Visual Interpretations. ICCV 2015: 2947-2955 - [c78]Nicholas Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew Bagnell:
Visual chunking: A list prediction framework for region-based object detection. ICRA 2015: 5448-5454 - [c75]Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell:
Autonomy Infused Teleoperation with Application to BCI Manipulation. Robotics: Science and Systems 2015 - [i25]Katharina Mülling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, J. Andrew Bagnell:
Autonomy Infused Teleoperation with Application to BCI Manipulation. CoRR abs/1503.05451 (2015) - 2014
- [c71]Varun Ramakrishna, Daniel Munoz, Martial Hebert, James Andrew Bagnell, Yaser Sheikh:
Pose Machines: Articulated Pose Estimation via Inference Machines. ECCV (2) 2014: 33-47 - [i20]Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert:
Efficient Feature Group Sequencing for Anytime Linear Prediction. CoRR abs/1409.5495 (2014) - [i19]Nicholas Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew Bagnell:
Visual Chunking: A List Prediction Framework for Region-Based Object Detection. CoRR abs/1410.7376 (2014) - [i17]Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell:
Vision and Learning for Deliberative Monocular Cluttered Flight. CoRR abs/1411.6326 (2014) - 2013
- [c69]Ondrej Miksik, Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
Efficient temporal consistency for streaming video scene analysis. ICRA 2013: 133-139 - [c67]Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Learning monocular reactive UAV control in cluttered natural environments. ICRA 2013: 1765-1772 - [c65]Hanzhang Hu, Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
Efficient 3-D scene analysis from streaming data. ICRA 2013: 2297-2304 - [i11]Alexander Grubb, Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
SpeedMachines: Anytime Structured Prediction. CoRR abs/1312.0579 (2013) - 2012
- [c61]Yuichi Ito, Kris M. Kitani, James A. Bagnell, Martial Hebert:
Detecting Interesting Events Using Unsupervised Density Ratio Estimation. ECCV Workshops (3) 2012: 151-161 - [c60]Kris M. Kitani, Brian D. Ziebart, James Andrew Bagnell, Martial Hebert:
Activity Forecasting. ECCV (4) 2012: 201-214 - [c59]Daniel Munoz, James Andrew Bagnell, Martial Hebert:
Co-inference for Multi-modal Scene Analysis. ECCV (6) 2012: 668-681 - [c55]J. Andrew Bagnell, Felipe Cavalcanti, Lei Cui, Thomas Galluzzo, Martial Hebert, Moslem Kazemi, Matthew Klingensmith, Jacqueline Libby, Tian Yu Liu, Nancy S. Pollard, Mihail Pivtoraiko, Jean-Sebastien Valois, Ranqi Zhu:
An integrated system for autonomous robotics manipulation. IROS 2012: 2955-2962 - [c51]Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell:
Contextual Sequence Prediction with Application to Control Library Optimization. Robotics: Science and Systems 2012 - [i10]Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell:
Predicting Contextual Sequences via Submodular Function Maximization. CoRR abs/1202.2112 (2012) - [i5]Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Learning Monocular Reactive UAV Control in Cluttered Natural Environments. CoRR abs/1211.1690 (2012) - 2011
- [c47]Stéphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell:
Learning message-passing inference machines for structured prediction. CVPR 2011: 2737-2744 - [c44]Xuehan Xiong, Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
3-D scene analysis via sequenced predictions over points and regions. ICRA 2011: 2609-2616 - 2010
- [j7]Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert:
Space-carving Kernels for Accurate Rough Terrain Estimation. Int. J. Robotics Res. 29(8): 981-996 (2010) - [c40]Daniel Munoz, J. Andrew Bagnell, Martial Hebert:
Stacked Hierarchical Labeling. ECCV (6) 2010: 57-70 - 2009
- [c33]Daniel Munoz, James A. Bagnell, Nicolas Vandapel, Martial Hebert:
Contextual classification with functional Max-Margin Markov Networks. CVPR 2009: 975-982 - [c32]Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson:
Autonomous Driving in Urban Environments: Boss and the Urban Challenge. The DARPA Urban Challenge 2009: 1-59 - [c27]Brian D. Ziebart, Nathan D. Ratliff, Garratt Gallagher, Christoph Mertz, Kevin M. Peterson, James A. Bagnell, Martial Hebert, Anind K. Dey, Siddhartha S. Srinivasa:
Planning-based prediction for pedestrians. IROS 2009: 3931-3936 - [c25]Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert:
Accurate rough terrain estimation with space-carving kernels. Robotics: Science and Systems 2009 - [c23]Nathan D. Ratliff, Brian D. Ziebart, Kevin M. Peterson, J. Andrew Bagnell, Martial Hebert, Anind K. Dey, Siddhartha S. Srinivasa:
Inverse Optimal Heuristic Control for Imitation Learning. AISTATS 2009: 424-431 - 2008
- [j2]Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson:
Autonomous driving in urban environments: Boss and the Urban Challenge. J. Field Robotics 25(8): 425-466 (2008)
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