Özgür Kara

Health Care Engineering Systems Center

1206 W Clark St

Urbana, IL, USA, 61801

I am a PhD student at UIUC CS PhD program under the supervision of Founder Professor James Rehg.

My ultimate research objective is to develop controllable and computationally efficient generative models for video applications including but not limited to text-to-video generation, video editing, long-term video generation. 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 and located at UIUC.

Download my CV.

Education

PhD: Computer Science - UIUC - 2024-Present
MSc, PhD: Machine Learning - Georgia Institute of Technology - 2022-2024
BSc: Electrical-Electronics Engineering - Bogazici University - 2018-2022
High School: Math and Science - Kadikoy Anadolu High School - 2013-2018

news

Sep 24, 2024	I have been recognized as an Outstanding Reviewer for ECCV 2024!
Jun 16, 2024	I am joining to CVPR’24 at Seattle with the highlight paper! Don’t forget to drop by our poster RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models which will take place on Wednesday, 19th, from 17:15 to 18:45 during Poster Session 2 in Exhibit Hall (Arch 4A-E).
May 13, 2024	I’ve started my internship at Adobe at San Jose, California, and working on text-to-video generation!
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
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!

selected publications

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models

Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, and 2 more authors

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (HIGHLIGHT), Jun 2024

arXiv Demo Code Website
Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets

Alp Kindiroglu*, Ozgur Kara*, Ogulcan Ozdemir, and 1 more author

In IEEE International Conference on Automatic Face and Gesture Recognition (IEEE FG), Mar 2024

arXiv Code
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior

Metin Ersin Arican*, Ozgur Kara*, Gustav Bredell, and 1 more author

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022

PDF Video Code
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition

Nikhil Churamani, Ozgur Kara, and Hatice Gunes

IEEE Transactions on Affective Computing, Jun 2022

PDF Code
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition

Ozgur Kara, Nikhil Churamani, and Hatice Gunes

In 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

PDF Code
Molecular index modulation using convolutional neural networks

Ozgur Kara, Gokberk Yaylali, Ali Emre Pusane, and 1 more author

Nano Communication Networks, Dec 2022

PDF Code
Neuroweaver: a platform for designing intelligent closed-loop neuromodulation systems

Parisa Sarikhani, Hao-Lun Hsu, Ozgur Kara, and 3 more authors

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, Dec 2021

PDF Code