My recent activities
01-03-2020 I will be joining Creative Intelligence Lab. @Adobe Research, Seattle as a Research Intern for summer 2020!
19-10-2019 One paper is accepted to TPAMI
“Learning to Localize Sound Source in Visual Scenes: Analysis and Applications” is accepted to the Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
07-01-2019 Joined to Samsung AI Center @Samsung Research America (SRA), Mountain View-California as a Research Intern
07-09-2018 Received Qualcomm Innovation Award 2018 🎉🎉🎉
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.
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.