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Jisoo Jeong
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2020 – today
- 2024
- [c16]Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli:
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. CVPR Workshops 2024: 2162-2171 - [c15]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli:
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. CVPR 2024: 19352-19362 - [c14]Rajeev Yasarla
, Manish Kumar Singh, Hong Cai
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. ECCV (5) 2024: 440-458 - [i15]Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli:
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. CoRR abs/2403.12953 (2024) - [i14]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli:
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. CoRR abs/2403.18092 (2024) - [i13]Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli:
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. CoRR abs/2404.08135 (2024) - 2023
- [c13]Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli:
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. CVPR Workshops 2023: 2220-2229 - [c12]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. CVPR 2023: 13691-13700 - [c11]Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli:
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. ICCV 2023: 8720-8730 - [i12]Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli:
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. CoRR abs/2303.14078 (2023) - [i11]Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli:
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. CoRR abs/2306.05691 (2023) - [i10]Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli:
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. CoRR abs/2307.14336 (2023) - 2022
- [c10]Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak:
Imposing Consistency for Optical Flow Estimation. CVPR 2022: 3171-3181 - [c9]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. CVPR 2022: 14492-14501 - [i9]Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak:
Imposing Consistency for Optical Flow Estimation. CoRR abs/2204.07262 (2022) - 2021
- [c8]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-Based Semi-Supervised Learning for Object Detection. CVPR 2021: 11602-11611 - [i8]Hakdong Kim, Heonyeong Lim, Minkyu Jee, Yurim Lee, Jisoo Jeong, Kyudam Choi, MinSung Yoon, Cheongwon Kim:
Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography. CoRR abs/2103.05158 (2021) - [i7]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. CoRR abs/2111.10958 (2021) - 2020
- [c7]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. AAAI 2020: 11246-11253 - [c6]Jisoo Jeong, Seungeui Lee, Nojun Kwak:
Self-Training using Selection Network for Semi-supervised Learning. ICPRAM 2020: 23-32 - [i6]Minsung Hyun, Jisoo Jeong, Nojun Kwak:
Class-Imbalanced Semi-Supervised Learning. CoRR abs/2002.06815 (2020) - [i5]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-based semi-supervised learning for object detection. CoRR abs/2006.02158 (2020)
2010 – 2019
- 2019
- [c5]Jaeseok Choi
Two-layer Residual Feature Fusion for Object Detection. ICPRAM 2019: 352-359 - [c4]Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak:
Consistency-based Semi-supervised Learning for Object detection. NeurIPS 2019: 10758-10767 - [i4]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. CoRR abs/1911.08141 (2019) - 2017
- [c3]Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. BMVC 2017 - [c2]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. BMVC 2017 - [i3]Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. CoRR abs/1705.09587 (2017) - [i2]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. CoRR abs/1706.10071 (2017) - [i1]Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong, Nojun Kwak:
Residual Features and Unified Prediction Network for Single Stage Detection. CoRR abs/1707.05031 (2017) - 2015
- [c1]Kaaen Kwon, Chi-Hwan Choi, Ji-Hyeon Lee, Jisoo Jeong, Wan-Sup Cho:
A graph based representative keywords extraction model from news articles. BigDAS 2015: 30-36
Coauthor Index
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