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

  • 3 Similar Profiles
Cameras Engineering & Materials Science
Pixels Engineering & Materials Science
Textures Engineering & Materials Science
Trajectories Engineering & Materials Science
Motion estimation Engineering & Materials Science
Imaging techniques Engineering & Materials Science
Computer vision Engineering & Materials Science
Calibration Engineering & Materials Science

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Research Output 1978 2019

Clustering as physically inspired energy minimization

Yang, H. & Ahuja, N., Feb 2019, In : Pattern Recognition. 86, p. 265-280 16 p.

Research output: Contribution to journalArticle

Clustering algorithms
Mean field theory
Integer programming
Experiments
Bandwidth

Joint image filtering with deep convolutional networks

Li, Y., Huang, J. B., Ahuja, N. & Yang, M. H., Aug 1 2019, In : IEEE transactions on pattern analysis and machine intelligence. 41, 8, p. 1909-1923 15 p., 8598855.

Research output: Contribution to journalArticle

Image Filtering
Neural networks
Guidance
Filter
Target

Tracking Persons-of-Interest via Unsupervised Representation Adaptation

Zhang, S., Huang, J. B., Lim, J., Gong, Y., Wang, J., Ahuja, N. & Yang, M. H., Jan 1 2019, (Accepted/In press) In : International Journal of Computer Vision.

Research output: Contribution to journalArticle

Neural networks
Target tracking
Clustering algorithms
Lighting
Semantics

Coreset-based neural network compression

Dubey, A., Chatterjee, M. & Ahuja, N., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Hebert, M. & Weiss, Y. (eds.). Springer-Verlag, p. 469-486 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11211 LNCS).

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

Compression
Neural Networks
Neural networks
Huffman Coding
Network Architecture

DeepMVS: Learning Multi-view Stereopsis

Huang, P. H., Matzen, K., Kopf, J., Ahuja, N. & Huang, J. B., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 2821-2830 10 p. 8578396. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

Neural networks
Chemical activation