Showing results 12 to 19 of 19
Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image Lee, Hong Joo; Kim, Hak Gu; Park, Hyenok; Shin, Dongkuk; Ro, Yong Man, Conference on Medical Imaging: Image Processing, SPIE, 2019-02-19 |
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack Lee, Hakmin; Lee, Hong Joo; Kim, Seong Tae; Ro, Yong Man, British Machine Vision Conference (BMVC) 2020, British Machine Vision Association (BMVA), 2020-09-07 |
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning Lee, Hong Joo; Ro, Yong Man, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.18, pp.4021 - 4033, 2023-06 |
Robust Video Facial Authentication With Unsupervised Mode Disentanglement Kim, Minsu; Lee, Hong Joo; Lee, Sangmin; Ro, Yong Man, 2020 IEEE International Conference on Image Processing, ICIP 2020, pp.1321 - 1325, IEEE Signal Processing Society, 2020-10-25 |
Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary Lee, Hong Joo; Kim, Jung Uk; Lee, Sangmin; Kim, Hak Gu; Ro, Yong Man, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020, pp.4816 - 4825, IEEE Computer Society, 2020-06-16 |
Teacher and Student Joint Learning for Compact Facial Landmark Detection Network Lee, Hong Joo; Alhaj Baddar, Wissam; Kim, Hak Gu; Kim, Seong Tae; Ro, Yong Man, 24th International Conference on MultiMedia Modeling (MMM) 2018, pp.493 - 504, Springer, 2018-02-08 |
Towards Robust Training of Multi-Sensor data Fusion Network Against Adversarial Examples in Semantic Segmentation Yu, Youngjoon; Lee, Hong Joo; Kim, Byeong Cheon; Kim, Jung Uk; Ro, Yong Man, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4710 - 4714, IEEE Signal Processing Society, 2021-06-07 |
Unsupervised Disentangling of Viewpoint and Residues Variations by Substituting Representations for Robust Face Recognition Kim, Minsu; Hong, Joanna; Kim, Junho; Lee, Hong Joo; Ro, Yong Man, 25th International Conference on Pattern Recognition (ICPR) , pp.8952 - 8959, International Association of Pattern Recognition, 2021-01-10 |
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