Ro, Yong Man

Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition

Kim, D. H., Baddar, W. J., Jang, J., & Ro, Y. M. (2019) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 257

Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary

Lee, H. J., Kim, J. U., Lee, S., Kim, H. G., & Ro, Y. M. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 180

Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning

Lee, S., Kim, H. G., Hwi Choi, D., Kim, H.-I., & Ro, Y. M. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisHuman Motion and Animation

Cited by 129

SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory

Park, S. J., Kim, M., Hong, J., Choi, J., & Ro, Y. M. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 88

Multiple ROI selection based focal liver lesion classification in ultrasound images

Jeon, J. H., Choi, J. Y., Lee, S., & Ro, Y. M. (2013) · Expert Systems with Applications

Medical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 47

Endometrium segmentation on transvaginal ultrasound image using key-point discriminator

Park, H., Lee, H. J., Kim, H. G., Ro, Y. M., Shin, D., Lee, S. R., Kim, S. H., & Kong, M. (2019) · Medical Physics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 37

Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning

Yu, Y., Lee, H. J., Kim, B. C., Kim, J. U., & Ro, Y. M. (2020) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 15