Özgür Kara
CODA, 15th Floor
756 West Peachtree Street
Atlanta, GA, USA, 30332
I am a 2nd year PhD student at Georgia Institute of Technology, Machine Learning PhD program under the supervision of Professor James Rehg.
My ultimate research objective is to develop controllable/understandable/manipulatable generative models for 2D and video applications in computer vision. Beyond these, I also worked on continual learning, and inverse image problems during my previous internships.
I always look for self-motivated students who want to focus on Generative AI related projects. Feel free to reach out to me if you are interested.
Download my CV.
Education
- PhD: Machine Learning - Georgia Institute of Technology - 2022-Present
- BSc: Electrical-Electronics Engineering - Bogazici University - 2018-2022
- High School: Math and Science - Kadikoy Anadolu High School - 2013-2018
Research Experience
- Rehg Lab - Georgia Institute of Technology - PhD Advisor: Prof. James Rehg - 2023 Spring - Present
- Visual Intelligence & Learning Lab - EPFL - Advisor: Asst. Prof. Amir Zamir - 2022 Summer
- Perceptual Intelligence Laboratory - Bogazici University - Advisor: Prof. Lale Akarun - 2021-2022
- Computer Vision Lab - ETH Zurich - Advisor: Prof. Ender Konukoglu - 2021-2022
- Nanonetworking Research Group - Bogazici University - Advisor: Prof. Ali Emre Pusane - 2020-2022
- Explainable Machine Learning Group - University of Tübingen - Advisor: Prof. Zeynep Akata - 2021 Spring
- Affective Intelligence & Robotics Lab - University of Cambridge - Advisors: Prof. Hatice Gunes and Dr. Nikhil Churamani - 2020 - 2021
Professional Experience
- Mentor: Google Summer of Code 2023 - Emory University - 2023 Summer
- AI Engineer: AiTerna Technologies - 2022-2024
- Mentor: Google Summer of Code 2022 - Emory University - 2022 Summer
- Contributor: Google Summer of Code 2021 - Emory University - 2021 Summer
- Summer Intern: Sestek - 2021 Summer
- Data Analyst Intern: ICRON - 2019 Summer
news
Apr 20, 2024 | I will be serving as a mentor in Google Summer of Code 2024 program this summer, on 2 projects. You can find the details of our projects at the following link: GitHub |
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Mar 18, 2024 | My undergraduate thesis Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets is accepted into IEEE FG 2024! |
Feb 26, 2024 | Our work RAVE is accepted into CVPR 2024! |
Dec 7, 2023 | Our new work RAVE on zero-shot text guided video editing is availabe on arXiv! |
Jul 10, 2023 | I attend International Computer Vision Summer School (ICVSS 2023) program in Sicily, Italy. |
selected publications
- Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit RecognitionIn Workshop on Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI), 16th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Jun 2021