Jisoo Jeong

According to our database, Jisoo Jeong authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation.

Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli

CoRR, 2024

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

CoRR, 2024

2023

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation.

Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling.

Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow.

Risheek Garrepalli, Jisoo Jeong, Rajeswaran C. Ravindran, Jamie Menjay Lin, Fatih Porikli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Imposing Consistency for Optical Flow Estimation.

Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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, Jisoo Jeong, Kyudam Choi, MinSung Yoon, Cheongwon Kim

CoRR, 2021

Interpolation-Based Semi-Supervised Learning for Object Detection.

Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Class-Imbalanced Semi-Supervised Learning.

Minsung Hyun, Jisoo Jeong, Nojun Kwak

CoRR, 2020

Self-Training using Selection Network for Semi-supervised Learning.

Jisoo Jeong, Seungeui Lee, Nojun Kwak

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Consistency-based Semi-supervised Learning for Object detection.

Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Two-layer Residual Feature Fusion for Object Detection.

Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong, Nojun Kwak

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2017

Residual Features and Unified Prediction Network for Single Stage Detection.

Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong, Nojun Kwak

CoRR, 2017

Superpixel-based semantic segmentation trained by statistical process control.

Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak

Proceedings of the British Machine Vision Conference 2017, 2017

Enhancement of SSD by concatenating feature maps for object detection.

Jisoo Jeong, Hyojin Park, Nojun Kwak

Proceedings of the British Machine Vision Conference 2017, 2017

2015

A graph based representative keywords extraction model from news articles.

Kaaen Kwon, Chi-Hwan Choi, Ji-Hyeon Lee, Jisoo Jeong, Wan-Sup Cho

Proceedings of the 2015 International Conference on Big Data Applications and Services, 2015