Difference between revisions of "Jisoo Jeong"
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:B.S. in Electrical and Computer Engineering, Ajou University, Korea. | :B.S. in Electrical and Computer Engineering, Ajou University, Korea. | ||
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+ | == '''Work Experiences''' == | ||
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+ | Oct. 2021~: | ||
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+ | :Qualcomm AI Research - Senior Engineer (San Diego). | ||
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+ | Jun. 2020 ~ Sep.2020: | ||
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+ | :Qualcomm AI Research - Research Intern (San Diego/Virtual). | ||
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Revision as of 00:25, 19 April 2023
Jisoo Jeong (정지수)
|
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~:
- Qualcomm AI Research - Senior Engineer (San Diego).
-
Jun. 2020 ~ Sep.2020:
- Qualcomm AI Research - Research Intern (San Diego/Virtual).
Publications
- International Conferences
- 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
- Superpixel-based semantic segmentation trained by statistical process control
- Hyojin Park, Jisoo Jeong, Youngjoon Yoo and Nojun Kwak
- BMVC 2017
- Enhancement of SSD by concatenating feature maps for object detection
- Jisoo Jeong, Hyojin Park and Nojun Kwak
- BMVC 2017
- Domestic Journals
- 이미지 평가를 위한 픽셀 변화량과 포와 인지의 구조적 유사도 기법
- 정지수, 김영진
- 정보과학회논문지, 41권, 10호, pp.847 - 858, 2014.10
- Domestic Conferences
- 객체 사이의 관계를 고려한 객체검출 알고리즘
- 정지수, 박효진, 황지혜, 박규태, 곽노준
- IPIU 2018