Sean I. Young

According to our database, Sean I. Young authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Framework for Interpretability in Machine Learning for Medical Imaging.

Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu

IEEE Access, 2024

2023

Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series.

S. Mazdak Abulnaga, Neel Dey, Sean I. Young, Eileen Pan, Katherine I. Hobgood, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

CoRR, 2023

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.

Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias

CoRR, 2023

Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI.

Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias

CoRR, 2023

Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI.

Matthew G. French, Gonzalo D. Maso Talou, Thiranja P. Babarenda Gamage, Martyn P. Nash, Poul M. F. Nielsen, Anthony J. Doyle, Juan Eugenio Iglesias, Yaël Balbastre, Sean I. Young

CoRR, 2023

SUD²: Supervision by Denoising Diffusion Models for Image Reconstruction.

Matthew A. Chan, Sean I. Young, Christopher A. Metzler

CoRR, 2023

2022

Rethinking Satellite Data Merging: From Averaging to SNR Optimization.

Seokhyeon Kim, Ashish Sharma, Yi Y. Liu, Sean I. Young

IEEE Trans. Geosci. Remote. Sens., 2022

Transform Quantization for CNN Compression.

Sean I. Young, Zhe Wang, David Taubman, Bernd Girod

IEEE Trans. Pattern Anal. Mach. Intell., 2022

SUD: Supervision by Denoising for Medical Image Segmentation.

Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias

CoRR, 2022

SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration.

Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Automatic Segmentation of the Placenta in BOLD MRI Time Series.

S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021

Rate-Distortion Optimized Coding for Efficient CNN Compression.

Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod

Proceedings of the 31st Data Compression Conference, 2021

2020

Graph Laplacian Regularization for Robust Optical Flow Estimation.

Sean I. Young, Aous Thabit Naman, David Taubman

IEEE Trans. Image Process., 2020

Fast Optical Flow Extraction From Compressed Video.

Sean I. Young, Bernd Girod, David Taubman

IEEE Trans. Image Process., 2020

Gaussian Lifting for Fast Bilateral and Nonlocal Means Filtering.

Sean I. Young, Bernd Girod, David Taubman

IEEE Trans. Image Process., 2020

Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform.

Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

COGL: Coefficient Graph Laplacians for Optimized JPEG Image Decoding.

Sean I. Young, Aous Thabit Naman, David Taubman

IEEE Trans. Image Process., 2019

Solving Vision Problems via Filtering.

Sean I. Young, Aous Thabit Naman, Bernd Girod, David Taubman

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

2018

Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding.

Maryam Haghighat, Reji Mathew, Aous Thabit Naman, Sean I. Young, David Taubman

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Fast Optical Flow Extraction from Compressed Video.

Sean I. Young, David Taubman

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2016

Optimized decoding of JPEG images based on generalized graph Laplacians.

Sean I. Young, Aous Thabit Naman, Reji K. Mathew, David S. Taubman

Proceedings of the 2016 Picture Coding Symposium, 2016

Optimizing block-coded motion parameters with block-partition graphs.

Sean I. Young, Reji K. Mathew, David Taubman

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Optimization of optical flow for scalable coding.

Reji Mathew, Sean I. Young, David Taubman

Proceedings of the 2015 Picture Coding Symposium, 2015

Rate-distortion optimized optical flow estimation.

Sean I. Young, David S. Taubman

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Embedded coding of optical flow fields for scalable video compression.

Sean I. Young, Reji Mathew, David S. Taubman

Proceedings of the IEEE 16th International Workshop on Multimedia Signal Processing, 2014

2013

Robust sum of Linear-Log Squared Differences distortion measure and its applications.

Sean I. Young, Reji Mathew, David S. Taubman

Proceedings of the 30th Picture Coding Symposium, 2013

Joint estimation of motion and arc breakpoints for scalable compression.

Sean I. Young, Reji Mathew, David S. Taubman

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013