Search Contact information
University of Cambridge Home Department of Engineering
University of Cambridge > Engineering Department

Ignas Budvytis


I am a graduate student in Computer Vision group, Machine Intelligence Laboratory in Department of Engineering in the University of Cambridge. I am currently working on semi-supervised video segmentation under the guidance of my supervisor Prof. Roberto Cipolla and advisor Dr.Vijay Badrinarayanan.

My main area of research involves object class recognition and segmentation for image and video data. In particular, I am interested in fast, efficient systems allowing a possibility of user interaction and online learning.

I have completed BA in Computer Science (Director of studies - Dr. Robert Harle) in Computer Laboratory, University of Cambridge. My interest in research had shaped during internships in various departments of the University of Cambridge: Computer Laboratory (supervised by Prof. Alan Blackwell, 2006), Department of Physics (supervised by Prof. David MacKay, winter 2007), Department of Engineering (supervised by Prof. Roberto Cipolla, summer 2008) as well as during a summer internship in Microsoft Research Cambridge, UK (supervised by Dr. James Scott, 2007).

More information can be found on my curriculum vitae.

Publications

[10] Budvytis, I., advised by Badrinarayanan V., supervised by Cipolla, R.,
Novel Probabilistic Graphical Models for Semi-Supervised Video Segmentation. [on demand]
PhD Thesis, 2013.

[9] Badrinarayanan V., Budvytis, I., Cipolla, R.,
Semi-Supervised Video Segmentation using Tree Structured Graphical Models. [to appear]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013.

[8] Badrinarayanan V., Budvytis I., Cipolla, R.,
Semi-Supervised Video Segmentation using Random Forests. [to buy]
Book Chapter in Decision Forests: for Computer Vision and Medical Image Analysis, Edited by Criminisi A., Shotton J., Springer 2013.

[7] Budvytis, I., Badrinarayanan, V., Cipolla, R.,
MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation. [pdf] [oral presentation]
In Proc. British Machine Vision Conference, Surrey, September 2012

[6] Kim, T-K., Budvytis, I., Cipolla, R.,
Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation. [pdf]
International Journal of Computer Vision (IJCV), BMVC10 special issue, June 2011.

[5] Budvytis, I., Badrinarayanan, V., Cipolla, R.,
Semi-Supervised Video Segmentation using Tree Structured Graphical Models. [pdf]
In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, June 2011.

[4] Budvytis I., Badrinarayanan V., Cipolla R.,
Label Propagation in Complex Video Sequences using Semi-Supervised Learning. [pdf]
In Proc. British Machine Vision Conference, Aberystwyth, September 2010.

[3] Budvytis* I., Kim*, T-K., Cipolla R.,
Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier. [pdf] [oral presentation]
In Proc. British Machine Vision Conference, Aberystwyth, September 2010.
* indicates equal contribution

[2] Budvytis, I., Scott, J., Butler, A.,
Compass-Based Automatic Picture Taking using SenseCam. [pdf]
In Adj. Proc. of Pervasive 2008, Sydney, May 2008.

[1] Blackwell, A.F., Bailey, G., Budvytis, I., Chen, V., Church, L., Dubuc, L., Edge, D., Linnap, M., Naudziunas, V. and Warrington, H.
Tangible interaction in a mobile context. [pdf]
Workshop on Tangible user interfaces in context and theory in CHI 2007, San Jose, California, May 2007.

© Cambridge University Engineering Dept
Information provided by ib255
Last updated: 25 May 2011