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)).

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

Computer Skills

• Python, Pytorch, C/C++, Caffe, Matlab

Publication

1. Jisoo Jeong, Hong Cai, Risheek Garrepalli and Fatih Porikli, "DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2023 (CVPR 2023), June. 2023.
2. Risheek Garrepalli, Jisoo Jeong, Rajeswaran C Ravindran, Jamie Lin and Fatih Porikli , "DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow", CVPR 2023 Workshop, June. 2023.
3. Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli, "MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation", International Conference on Computer Vision (ICCV 2023), Oct. 2023.
4. Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak, "Imposing Consistency for Optical Flow Estimation", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June. 2022.
5. JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeongong, Jongkeun Na, Nojun Kwak, "MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June. 2022.
6. Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak, "Interpolation-based semi-supervised learning for object detection", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2021 (CVPR 2021), online, June. 2021.
7. Minsung Hyun, Jisoo Jeong, Nojun Kwak, "Class-Imbalanced Semi-Supervised Learning", RobustML Workshop (ICLRW 2021), online, May. 2021.
8. Daesik Kim*, Gyujeong Lee*, Jisoo Jeong*, Nojun Kwak, "Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), New York, NY, USA, Feb. 2020
9. Jisoo Jeong*, Seungeui Lee* and Nojun Kwak, "Self-Training using selection network for Semi-Supervised Learning", 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM2020), Valletta, Malta, Feb. 2020.
10. Jisoo Jeong*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak, "Consistency-based Semi-supervised Learning for Object detection", Thirty-third Conference on Neural Information Processing Systems (NeurIPS2019), Vancouver, Canada, Dec. 2019.
11. Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong and Nojun Kwak, "Two-Layer Residual Feature Fusion for Object Detection", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, Feb. 2019.
12. Jisoo Jeong, Hyojin Park and Nojun Kwak, "Enhancement of SSD by concatenating feature maps for object detection", The British Machine Vision Conference (BMVC2017), London, UK, Sep. 2017.
13. Hyojin Park, Jisoo Jeong, Youngjoon Yoo and Nojun Kwak, "Superpixel-based semantic segmentation trained by statistical process control", The British Machine Vision Conference (BMVC2017), London, UK, Sep. 2017.
14. Jisoo Jeong, Young-Jin Kim, "Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness", Journal of KIISE. 2014.