Jisoo Jeong

Jisoo Jeong (정지수) 서울대학교 융합과학부 석박사통합과정 (2021.08) 아주대학교 전자공학과 졸업 (2015.08) Tel: +82-31-888-9579 e-mail: soo3553@snu.ac.kr Homepage google scholar github

Education

• 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)).

Publications

• DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling:

  Jisoo Jeong, Hong Cai, Risheek Garrepalli and Fatih Porikli

  CVPR 2023

• DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow:

  Risheek Garrepalli, Jisoo Jeong, Rajeswaran C Ravindran, Jamie Menjay Lin and Fatih Porikli

  CVPR 2023 Workshop (Mobile AI)

• Imposing Consistency for Optical Flow Estimation:

  Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli and Nojun Kwak

  CVPR 2022

• MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection:

  JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na 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

• Class-Imbalanced Semi-Supervised Learning:

  Minsung Hyun, Jisoo Jeong and Nojun Kwak

  ICLR 2021 Workshop (RobustML)

• 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

• Self-Training using selection network for Semi-Supervised Learning:

  Jisoo Jeong*, Seungeui Lee* and Nojun Kwak

  ICPRAM 2020

• Consistency-based Semi-supervised Learning for Object detection:

  Jisoo Jeong*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak

  NeurIPS 2019

• Two-Layer Residual Feature Fusion for Object Detection:

  Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong and Nojun Kwak

  ICPRAM 2019

• Enhancement of SSD by concatenating feature maps for object detection:

  Jisoo Jeong, Hyojin Park and Nojun Kwak

  BMVC 2017

• Superpixel-based semantic segmentation trained by statistical process control:

  Hyojin Park, Jisoo Jeong, Youngjoon Yoo and Nojun Kwak

  BMVC 2017

• Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness:

  Jisoo Jeong and Young-Jin Kim

  Journal of KIISE 2014