Jihun Yoon

According to our database1, Jihun Yoon authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
A Case for Speculative Address Translation with Rapid Validation for GPUs.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Automated Patient-Specific Pneumoperitoneum Model Reconstruction for Surgical Navigation Systems in Distal Gastrectomy.
Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Rethinking Soft Label in Label Distribution Learning Perspective.
CoRR, 2023

Exploring Video Frame Redundancies for Efficient Data Sampling and Annotation in Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-Supervised Object Detection With Sparsely Annotated Dataset.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Semi-Supervised Object Detection with Sparsely Annotated Dataset.
CoRR, 2020

Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020


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