Sanghyun Woo

M.S Candidate

Robotics and Computer Vision Lab.

Korea Advanced Institute of Science and Technology (KAIST)

shwoo93 [at] kaist.ac.kr

[CV] [Google Scholar] [Github]

Hello !

I am a M.S candidate in Robotics and Computer Vision Lab at Korea Advanced Institute of Science and Technology (KAIST) under the supervision of Prof. In So Kweon since 2017. I received B.S degree in electrical and computer engineering from Seoul National University (SNU).

Research Interests

  • Deep Learning
  • Computer Vision

-Object recognition (Image / Video)

International Publications

2018

    • LinkNet: Relational Embedding for Scene Graph [Paper]
Sanghuyn Woo*, Dahun Kim*, Donghyeon Cho, In So KweonNeural Information Processing Systems (NIPS), 2018 (*: equal contribution)
    • CBAM: Convolutional Block Attention Module [Paper]
Sanghuyn Woo*, Jongchan Park*, Joon-Young Lee, In So KweonEuropean Conference on Computer Vision (ECCV), 2018 (*: equal contribution)
    • BAM: BottleNeck Attention Module [Paper] [Supp]
Jongchan Park*, Sanghuyn Woo*, Joon-Young Lee, In So KweonBritish Machine Vision Conference (BMVC), 2018 (Oral)(*:equal contribution)Received Gold Prize, 24th HumanTech Paper Award, Samsung Electronics Co., Ltd.
    • StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection [Paper] [Supp]
Sanghuyn Woo, Soonmin Hwang, In So KweonWinter Conference on Computer Vision (WACV), 2018 (Oral)Received Silver Prize, Best Paper Award, 30th IPIU 2018Received Honorable Mention, 24th HumanTech Paper Award, Samsung Electronics Co., Ltd.

Academic Activities

  • Reviewer

-Machine Vision Applications (MVA)

Awards & Honors

  • Awards

-1st Place Award in ChalearnLAP 2018 Inpainting Challenge Track 2 – video decaptioning (ECCV2018 Challenge), Sep 2018

-Gold Prize, 24th HumanTech Paper Award, Samsung Electronics Co., Ltd. ($10,000), Feb 2018

-Honorable Mention, 24th HumanTech Paper Award, Samsung Electronics Co., Ltd. ($2,000), Feb 2018

-Silver Prize, Best Paper Award, 30th IPIU 2018, Feb 2018

  • Honors

-AI summer school (PAISS 2018), July 2018