Se-In Jang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 15

Top Topics

Image Denoising

Additive Gaussian Noise

Diffusion Models

Top Venues

Pattern Recognit.

Publications

Zainab Alhakeem, Se-In Jang, Hong-Goo Kang
Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong
Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising. IEEE Trans. Medical Imaging 43 (6) (2024)
Gary Y. Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images. CoRR (2023)
Se-In Jang
Deterministic Online Classification: Non-iteratively Reweighted Recursive Least-Squares for Binary Class Rebalancing. CoRR (2023)
Se-In Jang, Cristina Lois, Emma Thibault, J. Alex Becker, Yafei Dong, Marc D. Normandin, Julie C. Price, Keith A. Johnson, Georges El Fakhri, Kuang Gong
TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models. CoRR (2023)
Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising. CoRR (2022)
Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li
A Noise-level-aware Framework for PET Image Denoising. CoRR (2022)
Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li
A Noise-Level-Aware Framework for PET Image Denoising. MLMIR@MICCAI (2022)
Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation. CoRR (2022)
Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry
Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning. CoRR (2022)
Se-In Jang, Michael J. A. Girard, Alexandre H. Thiery
Explainable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning. NeSy (2021)
Se-In Jang
Online Passive-Aggressive Total-Error-Rate Minimization. CoRR (2020)
Se-In Jang, Geok-Choo Tan, Kar-Ann Toh, Andrew Beng Jin Teoh
Online Heterogeneous Face Recognition Based on Total-Error-Rate Minimization. IEEE Trans. Syst. Man Cybern. Syst. 50 (4) (2020)
Zainab Alhakeem, Se-In Jang
A Convolution-Free LBP-HOG Descriptor For Mammogram Classification. CoRR (2019)
Se-In Jang, Kwontaeg Choi, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim
Object tracking based on an online learning network with total error rate minimization. Pattern Recognit. 48 (1) (2015)
Se-In Jang, Kwontaeg Choi, Youngsung Kim, Beom-Seok Oh, Kar-Ann Toh
Visual tracking with online discriminative learning. ICICS (2011)