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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
Motion estimation Engineering & Materials Science
Trajectories 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 1 2019, In : Pattern Recognition. 86, p. 265-280 16 p.

Research output: Contribution to journalArticle

Clustering algorithms
Mean field theory
Integer programming

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

Neural Networks
Neural networks
Huffman Coding
Network Architecture

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

Lai, W. S., Huang, J. B., Ahuja, N. & Yang, M. H., Aug 11 2018, (Accepted/In press) In : IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research output: Contribution to journalArticle

Image resolution
Image reconstruction
Image quality

Joint Estimation of Human Pose and Conversational Groups from Social Scenes

Varadarajan, J., Subramanian, R., Bulò, S. R., Ahuja, N., Lanz, O. & Ricci, E., Apr 1 2018, In : International Journal of Computer Vision. 126, 2-4, p. 410-429 20 p.

Research output: Contribution to journalArticle

Supervised learning
Learning algorithms

QL-Net: Quantized-by-LookUp CNN

Abdiyeva, K., Yap, K. H., Gang, W., Ahuja, N. & Lukac, M., Dec 18 2018, 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. Institute of Electrical and Electronics Engineers Inc., p. 413-418 6 p. 8581119

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

Neural Networks
Neural networks