A graph based representative keywords extraction model from news articles. - Kaaen Kwon; Chi-Hwan Choi; Ji-Hyeon Lee; Jisoo Jeong; Wan-Sup Cho (BigDAS, 2015)

Enhancement of SSD by concatenating feature maps for object detection. - Jisoo Jeong; Hyojin Park 001; Nojun Kwak (BMVC, 2017)

Superpixel-based semantic segmentation trained by statistical process control. - Hyojin Park 001; Jisoo Jeong; Youngjoon Yoo; Nojun Kwak (BMVC, 2017)

Residual Features and Unified Prediction Network for Single Stage Detection. - Kyoungmin Lee; Jaeseok Choi; Jisoo Jeong; Nojun Kwak (CoRR, 2017)

Two-layer Residual Feature Fusion for Object Detection. - Jaeseok Choi; Kyoungmin Lee; Jisoo Jeong; Nojun Kwak (ICPRAM, 2019)

Consistency-based Semi-supervised Learning for Object detection. - Jisoo Jeong; Seungeui Lee; Jeesoo Kim; Nojun Kwak (NeurIPS, 2019)

Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction. - Daesik Kim; Gyujeong Lee; Jisoo Jeong; Nojun Kwak (AAAI, 2020)

Self-Training using Selection Network for Semi-supervised Learning. - Jisoo Jeong; Seungeui Lee; Nojun Kwak (ICPRAM, 2020)

Class-Imbalanced Semi-Supervised Learning. - Minsung Hyun; Jisoo Jeong; Nojun Kwak (CoRR, 2020)

Interpolation-Based Semi-Supervised Learning for Object Detection. - Jisoo Jeong; Vikas Verma; Minsung Hyun; Juho Kannala; Nojun Kwak (CVPR, 2021)

Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography. - Hakdong Kim; Heonyeong Lim; Minkyu Jee; Yurim Lee 001; Jisoo Jeong; Kyudam Choi; MinSung Yoon; Cheongwon Kim (CoRR, 2021)

Imposing Consistency for Optical Flow Estimation. - Jisoo Jeong; Jamie Menjay Lin; Fatih Porikli; 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; Nojun Kwak (CVPR, 2022)

DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. - Risheek Garrepalli; Jisoo Jeong; Rajeswaran C. Ravindran; Jamie Menjay Lin; Fatih Porikli (CVPR Workshops, 2023)

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. - Jisoo Jeong; Hong Cai; Risheek Garrepalli; Fatih Porikli (CVPR, 2023)

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. - Rajeev Yasarla; Hong Cai; Jisoo Jeong; Yunxiao Shi; Risheek Garrepalli; Fatih Porikli (ICCV, 2023)

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. - Jisoo Jeong; Hong Cai; Risheek Garrepalli; Jamie Menjay Lin; Munawar Hayat; Fatih Porikli (CVPR, 2024)

SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. - Jamie Menjay Lin; Jisoo Jeong; Hong Cai; Risheek Garrepalli; Kai Wang; Fatih Porikli (CVPR Workshops, 2024)

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. - Rajeev Yasarla; Manish Kumar Singh 002; Hong Cai; Yunxiao Shi; Jisoo Jeong; Yinhao Zhu; Shizhong Han; Risheek Garrepalli; Fatih Porikli (ECCV (5), 2024)

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties. - Jisoo Jeong; Hong Cai; Jamie Menjay Lin; Fatih Porikli (CVPR Workshops, 2025)

Learning Optical Flow Field via Neural Ordinary Differential Equation. - Leyla Mirvakhabova; Hong Cai; Jisoo Jeong; Hanno Ackermann; Farhad G. Zanjani; Fatih Porikli (CVPR Workshops, 2025)

BePo: Leveraging Birds Eye View and Sparse Points for Efficient and Accurate 3D Occupancy Prediction. - Yunxiao Shi; Hong Cai; Jisoo Jeong; Yinhao Zhu; Shizhong Han; Amin Ansari; Fatih Porikli (CoRR, 2025)

ODG: Occupancy Prediction Using Dual Gaussians. - Yunxiao Shi; Yinhao Zhu; Shizhong Han; Jisoo Jeong; Amin Ansari; Hong Cai; Fatih Porikli (CoRR, 2025)