Özgür Kara

prof_pic.jpg

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.

:page_with_curl: 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

Professional Experience

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
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

  1. cvpr_rave.jpg
    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), Jun 2024
  2. fg_slr.jpg
    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
  3. cvpr_isnasdip.JPG
    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
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    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
  5. leap_hri.JPG
    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
  6. nanocom.jpg
    Molecular index modulation using convolutional neural networks
    Ozgur Kara, Gokberk Yaylali, Ali Emre Pusane, and 1 more author
    Nano Communication Networks, Dec 2022
  7. neuroweaver.JPG
    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