Research Output per year
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
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 journal › Article
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 journal › Article
Image Filtering
Neural networks
Guidance
Filter
Target
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 proceeding › Conference 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 proceeding › Conference contribution
Neural networks
Chemical activation
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 journal › Article
Super-resolution
Pyramid
Image resolution
Image reconstruction
Image quality