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

  • 13 Similar Profiles
Textures Engineering & Materials Science
Cameras Engineering & Materials Science
Computer vision Engineering & Materials Science
MIMO systems Engineering & Materials Science
Skin Engineering & Materials Science
Imaging techniques Engineering & Materials Science
Lighting Engineering & Materials Science
Display devices Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2014 2020

Surface properties
Physical properties
Computer vision
Robotics
Physics
Cameras
Pixels
Hardware
Intelligent vehicle highway systems
Marble

Research Output 1994 2018

ISIC 2018 Preface

Codella, N. C. F., Celebi, M. E., Dana, K. & Halpern, A., Jan 1 2018, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11041 LNCS, p. XIV

Rutgers, The State University

Research output: Contribution to journalEditorial

Message from the General and Program Chairs

Hoogs, A., McCloskey, S., Medioni, G., Dana, K., Hasner, T., Liu, X. & Sukthankar, R., May 3 2018, In : Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. 2018-January, p. xxvi

Rutgers, The State University

Research output: Contribution to journalEditorial

Message from the General and Program Chairs

Hoogs, A., McCloskey, S., Medioni, G., Dana, K., Hasner, T., Liu, X. & Sukthankar, R., Apr 24 2018, In : Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2018. 2018-January, p. vii 8347105.

Rutgers, The State University

Research output: Contribution to journalEditorial

7 Citations

Deep TEN: Texture encoding network

Zhang, H., Xue, J. & Dana, K., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-January. p. 2896-2905 10 p.

Rutgers, The State University

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

Textures
Glossaries
Labels
Classifiers
Pipelines
10 Citations

Development of an autonomous bridge deck inspection robotic system

La, H. M., Gucunski, N., Dana, K. & Kee, S. H., Dec 1 2017, In : Journal of Field Robotics. 34, 8, p. 1489-1504 16 p.

Rutgers, The State University

Research output: Contribution to journalArticle

Bridge decks
Robotics
Inspection
Robots
Crack detection