Difference between revisions of "Jisoo Jeong"
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<li> | <li> | ||
− | + | Ph.D. in Graduate School of Convergence Science and Technology, Seoul National University, Korea: | |
− | + | :Aug. 2021 | |
− | + | ||
</li> | </li> | ||
<li> | <li> | ||
− | + | B.S. in Electrical and Computer Engineering, Ajou University, Korea: | |
− | + | :Aug. 2015 | |
− | + | ||
</li> | </li> | ||
</ul> | </ul> | ||
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<ul> | <ul> | ||
<li> | <li> | ||
− | + | Senior Engineer, Qualcomm AI Research (San Diego): | |
− | + | :Oct. 2021 - Current | |
− | + | ||
</li> | </li> | ||
<li> | <li> | ||
− | + | Research Intern, Qualcomm AI Research (San Diego (Virtual)): | |
− | + | :Jun. 2020 - Sep. 2020 | |
− | + | ||
</li> | </li> | ||
</ul> | </ul> | ||
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== '''Selected Publications''' == | == '''Selected Publications''' == | ||
+ | <ul> | ||
+ | :'''OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation''' <br> | ||
+ | :'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat and Fatih Porikli <br> | ||
+ | :'''CVPR 2024''' | ||
+ | </ul> | ||
+ | |||
+ | <br> | ||
<ul> | <ul> | ||
:'''DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling''' <br> | :'''DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling''' <br> | ||
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:'''BMVC 2017''' | :'''BMVC 2017''' | ||
</ul> | </ul> | ||
− | |||
== '''Reviewer''' == | == '''Reviewer''' == | ||
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<ul> | <ul> | ||
<li> | <li> | ||
− | Python, Pytorch, C/C++, Caffe, Matlab | + | Python, Pytorch, TensorFlow, C/C++, Caffe, Matlab |
</li> | </li> | ||
</ul> | </ul> | ||
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<ol> | <ol> | ||
+ | <li> | ||
+ | '''Jisoo Jeong''', Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat and Fatih Porikli, "OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2024 (CVPR 2024), June. 2024. | ||
+ | </li> | ||
+ | <li> | ||
+ | Jamie Menjay Lin, '''Jisoo Jeong''', Hong Cai, Risheek Garrepalli, Kai Wang and Fatih Porikli, "SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations", CVPR 2024 Workshop, June. 2024. | ||
+ | </li> | ||
<li> | <li> | ||
'''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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</li> | </li> | ||
<li> | <li> | ||
− | JongMok Kim, Jooyoung Jang, Seunghyeon Seo, '''Jisoo Jeong''' | + | JongMok Kim, Jooyoung Jang, Seunghyeon Seo, '''Jisoo Jeong''', 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. |
</li> | </li> | ||
<li> | <li> | ||
− | '''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) | + | '''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), June. 2021. |
</li> | </li> | ||
<li> | <li> | ||
− | Minsung Hyun, '''Jisoo Jeong''', Nojun Kwak, "Class-Imbalanced Semi-Supervised Learning", RobustML Workshop (ICLRW 2021) | + | Minsung Hyun, '''Jisoo Jeong''', Nojun Kwak, "Class-Imbalanced Semi-Supervised Learning", RobustML Workshop (ICLRW 2021), May. 2021. |
</li> | </li> | ||
<li> | <li> | ||
− | 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) | + | 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), Feb. 2020 |
</li> | </li> | ||
<li> | <li> | ||
− | '''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) | + | '''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), Feb. 2020. |
</li> | </li> | ||
<li> | <li> | ||
− | '''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) | + | '''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), Dec. 2019. |
</li> | </li> | ||
<li> | <li> | ||
− | 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) | + | 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), Feb. 2019. |
</li> | </li> | ||
<li> | <li> | ||
− | '''Jisoo Jeong''', Hyojin Park and Nojun Kwak, "Enhancement of SSD by concatenating feature maps for object detection", The British Machine Vision Conference (BMVC2017) | + | '''Jisoo Jeong''', Hyojin Park and Nojun Kwak, "Enhancement of SSD by concatenating feature maps for object detection", The British Machine Vision Conference (BMVC2017), Sep. 2017. |
</li> | </li> | ||
<li> | <li> | ||
− | Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak, "Superpixel-based semantic segmentation trained by statistical process control", The British Machine Vision Conference (BMVC2017) | + | Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak, "Superpixel-based semantic segmentation trained by statistical process control", The British Machine Vision Conference (BMVC2017), Sep. 2017. |
</li> | </li> | ||
<li> | <li> |
Latest revision as of 05:57, 27 April 2024
Jisoo Jeong (정지수)
|
Contents
Education
-
Ph.D. in Graduate School of Convergence Science and Technology, Seoul National University, Korea:
- Aug. 2021
-
B.S. in Electrical and Computer Engineering, Ajou University, Korea:
- Aug. 2015
Work Experiences
-
Senior Engineer, Qualcomm AI Research (San Diego):
- Oct. 2021 - Current
-
Research Intern, Qualcomm AI Research (San Diego (Virtual)):
- Jun. 2020 - Sep. 2020
Selected Publications
- OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
- Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat and Fatih Porikli
- CVPR 2024
- 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, TensorFlow, C/C++, Caffe, Matlab
Publications
- Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat and Fatih Porikli, "OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2024 (CVPR 2024), June. 2024.
- Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang and Fatih Porikli, "SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations", CVPR 2024 Workshop, June. 2024.
- 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 Jeong, 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), June. 2021.
- Minsung Hyun, Jisoo Jeong, Nojun Kwak, "Class-Imbalanced Semi-Supervised Learning", RobustML Workshop (ICLRW 2021), 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), 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), 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), 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), 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), 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), Sep. 2017.
- Jisoo Jeong, Young-Jin Kim, "Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness", Journal of KIISE. 2014.