Titas Anciukevičius (Preferred)
Titas Anciukevičius
University of Edinburgh
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@gmail.com
, ****@ed.ac.uk
, ****@snap.com
, ****@adobe.com
Personal Links
Add links to your profiles on other sites. (Optional)
Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
PhD student
University of Edinburgh (ed.ac.uk)
2020 – 2024
Researcher
Adobe Systems (adobe.com)
2022 – 2022
Researcher
Snap Inc. (snap.com)
2021 – 2022
Researcher
Institute of Science and Technology (ist.ac.at)
2019 – 2020
Undergrad student
University of Edinburgh (ed.ac.uk)
2017 – 2020
Researcher
International Business Machines (ibm.com)
2019 – 2019
Researcher
Institut Pasteur (pasteur.fr)
2018 – 2018
Researcher
University of Durham (dur.ac.uk)
2017 – 2017
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Hakan Bilen
****@ed.ac.uk
2020 – Present
PhD Advisor
Chris Williams
****@inf.ed.ac.uk
2020 – Present
Coauthor
Edward Rosten
****@snap.com
2021 – 2022
Coauthor
Patrick Fox-Roberts
****@snap.com
2021 – 2022
Coauthor
Paul Henderson
****@pmh47.net
2019 – 2022
Coauthor
Christoph Lampert
****@ist.ac.at
2019 – 2020
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Computer Vision
Present
Unsupervised Learning
Present
Deep Learning
Present
Generative Models
Present
Computer Graphics
Present