Özgür Kara

prof_pic.jpg

CODA, 15th Floor

756 West Peachtree Street

Atlanta, GA, USA, 30332

Currently, I am a 2nd year PhD student at Georgia Institute of Technology, Machine Learning PhD program under the supervision of Professor James Rehg.

Taking a broader view of my research, I delve into a range of downstream issues within the realms of 3D and 2D computer vision, along with generative modeling. My ultimate research objective is to gain a comprehensive grasp of these models, enabling us to effectively harness them for practical applications and pioneer the development of generative models for controllable/understandable/manipulatable computer vision. Beyond these, I also worked on continual learning, and inverse image problems during my previous internships.

I am always open for collaboration in Generative AI. Feel free to reach out to me, and can fill up the form

:page_with_curl: Download my resumé.

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

Dec 7, 2023 Our new work 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.
Apr 22, 2023 I will be serving as a mentor in Google Summer of Code 2023 program this summer. You can find the details of our projects at the following link: GitHub
Apr 29, 2022 I have been accepted at the Machine Learning PhD program at Georgia Tech, starting Fall’22.
Apr 22, 2022 I will be interning at VILAB-EPFL under Dr. Amir Zamir for 2022 Summer.

selected publications

  1. RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
    Ozgur Kara*, Bariscan Kurtkaya*, Hidir Yesiltepe, and 2 more authors
    In Submission, Jun 2024
  2. Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets
    Alp Kindiroglu, Ozgur Kara, Ogulcan Ozdemir, and 1 more author
    In Submission, Jun 2024
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    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
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    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