Arda Senocak bio photo

Arda Senocak

PhD-candidate @ Robotics and Computer Vision Lab at KAIST.

Daejeon, S.Korea Twitter Github e-Mail

Welcome!

My recent activities

  • 16-05-2018 Paper accepted to CVPR 2018 Sight and Sound Workshop
    “On Learning Association of Sound Source and Visual Scenes” is accepted as Oral paper to Sight and Sound Workshop at CVPR 2018.

  • 16-04-2018 Selected to participate the ICVSS 2018
    Selected to International Computer Vision Summer School 2018 in Sicily, Italy.

  • 06-04-2018 One paper is accepted to CVPR 2018 Workshops
    “Part-based Player Identification using Deep Convolutional Representation and Multi-scale Pooling” is accepted as Oral paper to 4th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2018.

  • 19-02-2018 One paper is accepted to CVPR 2018
    “Learning to Localize Sound Source in Visual Scenes” is accepted to CVPR 2018, Salt Lake City.

  • 10-02-2018 New Website:
    Finally, my personal page is up and running!

Who am I?

I am a Ph.D. candidate in RCV Lab. at Korea Advanced Institute of Science and Technology (KAIST) under the advisement of Prof.In So Kweon. My research interests are in the areas of machine learning and computer vision, with a focus on multi-modal machine learning (audio-visual), deep learning and sports video analysis.


Before I started to my Ph.D. at KAIST, I was a Ph.D. candidate in the Department of Computer Science at Stevens Institute of Technology under the supervision of Prof. Philippos Mordohai. I graduated with a Bachelor's degree in Computer Science from KAIST and I also received my Master's Degree from the Electrical Engineering Department of KAIST.