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caffe's Introduction

🔭Graduation

🔭 Focusing on major.

  • VideoCoding [VVC,MPEG-I(MIV),VCM]
  • DeepLearning [SuperResolution,S2VT]

🔭 Environment Skills

  • C++ / Python
  • Video Understanding (TMIV/VCM/VTM)
  • pytorch, tensorflow2
  • ffmpeg(OpenSW)
  • Docker, git management

🔭 Publications

International Journal

  • *“Immersive Video Coding Using Deep Learning Based Specular Detection”, Association for the Advancement of Artificial Intelligence (Under Review)
  • “Specular Detection and Rendering for Immersive Multimedia”, IEEE Multimedia (Major Revisions)
  • “Efficient Video Captioning Using Quality Enhancement in Video Communication Systems”, Expert Systems with Applications (Under Review)
  • “Low-Complexity Two-Step Lossless Depth Coding Using Coarse Lossy Coding”, Multimedia Tools and Applications, Apr. 2022
  • “Low-Complexity Intra Coding in Versatile Video Coding”, IEEE Trans. Consumer Electronics, May 2022
    *:First Order

Domestic Journal

  • *"몰입형 입체 영상 부호화를 위한 VVC 인루프 필터 성능 분석", 2022 한국방송미디어공학회 추계학술대회

🔭 Standardization

  • *[MPEG-I] “Future MPEG Immersive Video Coding Based on Specular Detection”, m57981, Oct.2021
  • *[MPEG-I] “Deep Learning Based Specular Pruning”, m58997, Jan.2022
  • [MPEG-I] "The crosscheck report for EE4.a in Future MIV exploration experiment", m56611, April.2021
  • [MPEG-I] "Results for EE3 on Future MIV", m57492, July.2021
  • [VVC] “AHG11:Deep Neural Network for Super-Resolution”, JVET-T0096, Oct.2020
  • [VCM] “VVC tool combination for efficient feature map coding”, m60128, Jul.2022
  • [VCM] “Performance analysis of VVC inter tools for feature map coding”, m60127, Jul.2022
  • [VCM] “Performance analysis of VVC intra tools for feature map coding”, m60126, Jul.2022
    *:First Order

🔭 Patents

  • [출원] “영상의 화질에 따라 초해상도 딥러닝 네트워크를 적용하는 비디오 처리 방법 및 비디오 처리 장치”, 10-2022-0011541

caffe's People

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