Difference between revisions of "Jisoo Jeong"
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:'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak <br> | :'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak <br> | ||
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:Daesic Kim*, Gyujeong Lee*, '''Jisoo Jeong'''* and Nojun Kwak <br> | :Daesic Kim*, Gyujeong Lee*, '''Jisoo Jeong'''* and Nojun Kwak <br> | ||
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:'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak <br> | :'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak <br> | ||
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Revision as of 04:43, 28 October 2023
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Jisoo Jeong (정지수)
|
Education
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Aug. 2021:
- Ph.D. in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
-
Aug. 2015:
- B.S. in Electrical and Computer Engineering, Ajou University, Korea.
Work Experiences
-
Oct. 2021 - Current:
- Senior Engineer, Qualcomm AI Research (San Diego).
-
Jun. 2020 - Sep. 2020:
- Research Intern, Qualcomm AI Research (San Diego (Virtual)).
Selected Publications
- DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
- Jisoo Jeong, Hong Cai, Risheek Garrepalli and Fatih Porikli
- CVPR 2023
- Imposing Consistency for Optical Flow Estimation
- Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli and Nojun Kwak
- CVPR 2022
- Interpolation-based Semi-supervised Learning for Object detection
- Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak
- CVPR 2021
- Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction
- Daesic Kim*, Gyujeong Lee*, Jisoo Jeong* and Nojun Kwak
- AAAI 2020
- Consistency-based Semi-supervised Learning for Object detection
- Jisoo Jeong*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak
- NeurIPS 2019
- Enhancement of SSD by concatenating feature maps for object detection
- Jisoo Jeong, Hyojin Park and Nojun Kwak
- BMVC 2017
Reviewer
- IEEE TPAMI, IEEE Transactions on Multimedia:
- CVPR, ICCV, ECCV, NeurIPS, AAAI
