Haeil Lee

According to our database1, Haeil Lee authored at least 8 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Inspecting Explainability of Transformer Models with Additional Statistical Information.
CoRR, 2023

DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation.
CoRR, 2023

Reinforcement Learning-Based Black-Box Model Inversion Attacks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification.
CoRR, 2022

Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

2021
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2017
Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017


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