Hebert, Martial
Carnegie Mellon University
11 papers on CoChatORCID 0000-0003-4566-5930
Most cited papers
- Verified
Autonomous driving in urban environments: Boss and the Urban Challenge
Urmson, C., Anhalt, J., Bagnell, D., Baker, C., Bittner, R., Clark, M. N., Dolan, J., Duggins, D., Galatali, T., Geyer, C., et al. (2008) · Journal of Field Robotics
Autonomous Vehicle Technology and SafetyRobotic Path Planning Algorithms
Cited by 1,555
- Verified
Semi-Supervised Self-Training of Object Detection Models
Rosenberg, C., Hebert, M., & Schneiderman, H. (2005) · 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 796
- Verified
Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification
Misra, I., Zitnick, C. L., & Hebert, M. (2016) · Lecture Notes in Computer Science
Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning
Cited by 779
- Verified
Activity Forecasting
Kitani, K. M., Ziebart, B. D., Bagnell, J. A., & Hebert, M. (2012) · Lecture Notes in Computer Science
Video Surveillance and Tracking MethodsContext-Aware Activity Recognition Systems
Cited by 701
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Automatic photo pop-up
Hoiem, D., Efros, A. A., & Hebert, M. (2005) · ACM Transactions on Graphics
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 616
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Simultaneous Localization, Mapping and Moving Object Tracking
Wang, C.-C., Thorpe, C., Thrun, S., Hebert, M., & Durrant-Whyte, H. (2007) · The International Journal of Robotics Research
Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks
Cited by 596
- Verified
Planning-based prediction for pedestrians
Ziebart, B. D., Ratliff, N., Gallagher, G., Mertz, C., Peterson, K., Bagnell, J. A., Hebert, M., Dey, A. K., & Srinivasa, S. (2009) · 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
Robotic Path Planning AlgorithmsEvacuation and Crowd Dynamics
Cited by 456
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Recovering Occlusion Boundaries from a Single Image
Hoiem, D., Stein, A. N., Efros, A. A., & Hebert, M. (2007) · 2007 IEEE 11th International Conference on Computer Vision
Advanced Vision and ImagingAdvanced Neural Network Applications
Cited by 206
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Improving Multi-Step Prediction of Learned Time Series Models
Venkatraman, A., Hebert, M., & Bagnell, J. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence
Time Series Analysis and ForecastingReinforcement Learning in Robotics
Cited by 198
- Verified
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Wang, Y.-X., Ramanan, D., & Hebert, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 154
- Verified
Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping
Downey, J. E., Weiss, J. M., Muelling, K., Venkatraman, A., Valois, J.-S., Hebert, M., Bagnell, J. A., Schwartz, A. B., & Collinger, J. L. (2016) · Journal of NeuroEngineering and Rehabilitation
EEG and Brain-Computer InterfacesProsthetics and Rehabilitation Robotics
Cited by 111
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