Svetlana Lazebnik

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Labels Engineering & Materials Science
Binary codes Engineering & Materials Science
Textures Engineering & Materials Science
Image retrieval Engineering & Materials Science
Internet Engineering & Materials Science
Semantics Engineering & Materials Science
Object recognition Engineering & Materials Science
Experiments Engineering & Materials Science

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Research Output 2001 2019

Combining Multiple Cues for Visual Madlibs Question Answering

Tommasi, T., Mallya, A., Plummer, B., Lazebnik, S., Berg, A. C. & Berg, T. L., Jan 15 2019, In : International Journal of Computer Vision. 127, 1, p. 38-60 23 p.

Research output: Contribution to journalArticle

Feature extraction

Learning Two-Branch Neural Networks for Image-Text Matching Tasks

Wang, L., Li, Y., Huang, J. & Lazebnik, S., Feb 1 2019, In : IEEE transactions on pattern analysis and machine intelligence. 41, 2, p. 394-407 14 p., 8268651.

Research output: Contribution to journalArticle

Neural Networks
Neural networks
Network Structure

Conditional image-text embedding networks

Plummer, B. A., Kordas, P., Kiapour, M. H., Zheng, S., Piramuthu, R. & Lazebnik, S., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer-Verlag, p. 258-274 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11216 LNCS).

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

Electric grounding

Out of the box: Reasoning with graph convolution nets for factual visual question answering

Narasimhan, M., Lazebnik, S. & Schwing, A. G., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 2654-2665 12 p.

Research output: Contribution to journalConference article


PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Mallya, A. & Lazebnik, S., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 7765-7773 9 p. 8578908. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

Network architecture
Deep neural networks