| 2025 | CVPR | Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties. | Jisoo Jeong, Hong Cai, Jamie Menjay Lin, Fatih Porikli |
| 2025 | CVPR | Learning Optical Flow Field via Neural Ordinary Differential Equation. | Leyla Mirvakhabova, Hong Cai, Jisoo Jeong, Hanno Ackermann, Farhad G. Zanjani, Fatih Porikli |
| 2024 | CVPR | OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. | Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli |
| 2024 | CVPR | SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations. | Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Risheek Garrepalli, Kai Wang, Fatih Porikli |
| 2024 | ECCV | FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. | Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli |
| 2023 | CVPR | DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow. | Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli |
| 2023 | CVPR | DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling. | Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli |
| 2023 | ICCV | MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. | Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli |
| 2022 | CVPR | Imposing Consistency for Optical Flow Estimation. | Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak |
| 2022 | CVPR | 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 |
| 2021 | CVPR | Interpolation-Based Semi-Supervised Learning for Object Detection. | Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak |
| 2020 | AAAI | 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 |
| 2020 | ICPRAM | Self-Training using Selection Network for Semi-supervised Learning. | Jisoo Jeong, Seungeui Lee, Nojun Kwak |
| 2019 | ICPRAM | Two-layer Residual Feature Fusion for Object Detection. | Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong, Nojun Kwak |
| 2017 | BMVC | Enhancement of SSD by concatenating feature maps for object detection. | Jisoo Jeong, Hyojin Park, Nojun Kwak |
| 2017 | BMVC | Superpixel-based semantic segmentation trained by statistical process control. | Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak |