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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.

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

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Projects 2014 2020

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

Research Output 1994 2019

Multi-style generative network for real-time transfer

Zhang, H. & Dana, K., Jan 1 2019, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 349-365 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11132 LNCS).

Rutgers, The State University

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

Brushes
Convolution
Image quality
Interpolation
Statistics

Context Encoding for Semantic Segmentation

Zhang, H., Dana, K., Shi, J., Zhang, Z., Wang, X., Tyagi, A. & Agrawal, A., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 7151-7160 10 p. 8578845. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Rutgers, The State University

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

Semantics
Network layers
Image classification
Volatile organic compounds
Convolution

Deep Texture Manifold for Ground Terrain Recognition

Xue, J., Zhang, H. & Dana, K., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 558-567 10 p. 8578163. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Rutgers, The State University

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

Textures
Gravel
Asphalt
Mobile phones
Sand

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., 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