Jeongyeol Choe

According to our database, Jeongyeol Choe authored at least 5 papers between 2018 and 2025.

Collaborative distances:

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

2025

HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation.

Giwoong Lee, Jiseung Ahn, Jeongyeol Choe

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2019

Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps.

Beomsu Kim, Junghoon Seo, Seunghyun Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon

CoRR, 2019

Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps.

Beomsu Kim, Junghoon Seo, Seunghyeon Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative.

Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, Seunghyeon Jeon, Beomsu Kim, Taegyun Jeon

CoRR, 2018

RBox-CNN: rotated bounding box based CNN for ship detection in remote sensing image.

Jamyoung Koo, Junghoon Seo, Seunghyun Jeon, Jeongyeol Choe, Taegyun Jeon

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018