Difference between revisions of "Jisoo Jeong"
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'''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. | '''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. | ||
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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. | 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. | ||
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Revision as of 05:01, 28 October 2023
Jisoo Jeong (정지수)
|
Contents
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Minsung Hyun, Jisoo Jeong, Nojun Kwak, "Class-Imbalanced Semi-Supervised Learning", RobustML Workshop (ICLRW 2021), online, May 2021.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.