Joint estimation of motion and arc breakpoints for scalable compression. - Sean I. Young; Reji Mathew; David S. Taubman (GlobalSIP, 2013)

Robust sum of Linear-Log Squared Differences distortion measure and its applications. - Sean I. Young; Reji Mathew; David S. Taubman (PCS, 2013)

Embedded coding of optical flow fields for scalable video compression. - Sean I. Young; Reji Mathew; David S. Taubman (MMSP, 2014)

Rate-distortion optimized optical flow estimation. - Sean I. Young; David S. Taubman (ICIP, 2015)

Optimization of optical flow for scalable coding. - Reji Mathew; Sean I. Young; David Taubman (PCS, 2015)

Optimizing block-coded motion parameters with block-partition graphs. - Sean I. Young; Reji K. Mathew; David Taubman (ICIP, 2016)

Optimized decoding of JPEG images based on generalized graph Laplacians. - Sean I. Young; Aous Thabit Naman; Reji K. Mathew; David S. Taubman (PCS, 2016)

Fast Optical Flow Extraction from Compressed Video. - Sean I. Young; David Taubman (DICTA, 2018)

Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding. - Maryam Haghighat; Reji Mathew; Aous Thabit Naman; Sean I. Young; David Taubman (ICASSP, 2018)

Solving Vision Problems via Filtering. - Sean I. Young; Aous Thabit Naman; Bernd Girod; David Taubman (ICCV, 2019)

COGL: Coefficient Graph Laplacians for Optimized JPEG Image Decoding. - Sean I. Young; Aous Thabit Naman; David Taubman (IEEE Trans. Image Process., 2019)

Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform. - Sean I. Young; David B. Lindell; Bernd Girod; David Taubman; Gordon Wetzstein (CVPR, 2020)

Gaussian Lifting for Fast Bilateral and Nonlocal Means Filtering. - Sean I. Young; Bernd Girod; 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)

Graph Laplacian Regularization for Robust Optical Flow Estimation. - Sean I. Young; Aous Thabit Naman; David Taubman (IEEE Trans. Image Process., 2020)

Rate-Distortion Optimized Coding for Efficient CNN Compression. - Wang Zhe; Jie Lin 001; Mohamed M. Sabry Aly; Sean I. Young; Vijay Chandrasekhar 001; Bernd Girod (DCC, 2021)

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 (PIPPI@MICCAI, 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 (WBIR, 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)

Transform Quantization for CNN Compression. - Sean I. Young; Zhe Wang 019; David Taubman; Bernd Girod (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Rethinking Satellite Data Merging: From Averaging to SNR Optimization. - Seokhyeon Kim; Ashish Sharma 002; Yi Y. Liu 001; Sean I. Young (IEEE Trans. Geosci. Remote. Sens., 2022)

SUD2: Supervision by Denoising Diffusion Models for Image Reconstruction. - Matthew A. Chan 002; Sean I. Young; Christopher A. Metzler (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)

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)

Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. - Sean I. Young; Yaël Balbastre; Bruce Fischl; Polina Golland; Juan Eugenio Iglesias (CVPR, 2024)

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 Bran Li; Sean I. Young; Benjamin Billot; Oula Puonti; et al. (ISBI, 2024)

Pseudo-rendering for Resolution and Topology-Invariant Cortical Parcellation. - Pablo Blasco Fernandez; Karthik Gopinath; John Williams-Ramirez; Rogeny Herisse; Lucas J. Deden-Binder; Dina Zemlyanker; Theressa Connors; Liana Kozanno; Derek Oakley; Bradley T. Hyman; Sean I. Young; Juan Eugenio Iglesias (MLMI@MICCAI (2), 2024)

A Framework for Interpretability in Machine Learning for Medical Imaging. - Alan Q. Wang 003; Batuhan K. Karaman; Heejong Kim; Jacob Rosenthal; Rachit Saluja; Sean I. Young; Mert R. Sabuncu (IEEE Access, 2024)

Foundations of Large Language Model Compression - Part 1: Weight Quantization. - Sean I. Young (CoRR, 2024)

Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning. - Lin Tian; Sean I. Young; Jonathan Williams Ramirez; Dina Zemlyanker; Lucas J. Deden-Binder; Rogeny Herisse; Theresa R. Connors; Derek H. Oakley; Bradley T. Hyman; Oula Puonti; Matthew S. Rosen; Juan Eugenio Iglesias (CoRR, 2025)

Radio: Rate-Distortion Optimization for Large Language Model Compression. - Sean I. Young (CoRR, 2025)

Supervision by Denoising. - Sean I. Young; Adrian V. Dalca; Enzo Ferrante; Polina Golland; Christopher A. Metzler; Bruce Fischl; Juan Eugenio Iglesias (IEEE Trans. Pattern Anal. Mach. Intell., 2025)