Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Robots Engineering & Materials Science
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Ultrasonics Engineering & Materials Science
Elasticity Imaging Techniques Medicine & Life Sciences
Endoscopy Engineering & Materials Science
Cameras Engineering & Materials Science
Sensors Engineering & Materials Science

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Research Output 1984 2018

Regularizing face verification nets for pain intensity regression

Wang, F., Xiang, X., Liu, C., Tran, T. D., Reiter, A., Hager, G. D., Quon, H., Cheng, J. & Yuille, A. L. Feb 20 2018 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, Vol. 2017-September, p. 1087-1091 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Tuning

A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery

Ahmidi, N., Tao, L., Sefati, S., Gao, Y., Lea, C., Haro, B. B., Zappella, L., Khudanpur, S., Vidal, R. & Hager, G. D. Sep 1 2017 In : IEEE Transactions on Biomedical Engineering. 64, 9, p. 2025-2041 17 p., 7805258

Research output: Contribution to journalArticle

Hidden Markov models
Benchmarking
Time series
Dynamical systems
Kinematics

Combining neural networks and tree search for task and motion planning in challenging environments

Paxton, C., Raman, V., Hager, G. D. & Kobilarov, M. Dec 13 2017 IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-September, p. 6059-6066 8 p. 8206505

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Temporal logic
Motion planning
Reinforcement learning
Neural networks
Specifications

CoSTAR: Instructing collaborative robots with behavior trees and vision

Paxton, C., Hundt, A., Jonathan, F., Guerin, K. & Hager, G. D. Jul 21 2017 ICRA 2017 - IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers Inc., p. 564-571 8 p. 7989070

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robots
Industrial robots
Robotics
Automation
Innovation

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

Rupprecht, C., Laina, I., Dipietro, R., Baust, M., Tombari, F., Navab, N. & Hager, G. D. Dec 22 2017 Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-October, p. 3611-3620 10 p. 8237650

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image classification
Image segmentation
Uncertainty
Object detection