Oscar Leong

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Image Reconstruction

Inverse Problems

Diffusion Models

Sparsely Sampled

Top Venues

IEEE Trans. Computational Imaging

Publications

Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. CoRR (2024)
Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman
Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction. ICASSP (2024)
Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman
Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction. CoRR (2024)
Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
Ill-Posed Image Reconstruction Without an Image Prior. CoRR (2023)
Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
Image Reconstruction without Explicit Priors. CoRR (2023)
Rohun Agrawal, Oscar Leong
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval. ICASSP (2023)
Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
Image Reconstruction without Explicit Priors. ICASSP (2023)
Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
Discovering Structure From Corruption for Unsupervised Image Reconstruction. IEEE Trans. Computational Imaging 9 (2023)
Rohun Agrawal, Oscar Leong
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval. CoRR (2022)
Paul Hand, Oscar Leong, Vladislav Voroninski
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors. CoRR (2020)
Muhammad Asim, Max Daniels, Oscar Leong, Ali Ahmed, Paul Hand
Invertible generative models for inverse problems: mitigating representation error and dataset bias. ICML (2020)
Paul Hand, Oscar Leong, Vladislav Voroninski
Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration. CoRR (2020)
Oscar Leong, Wesam Sakla
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems. CoRR (2019)
Paul Hand, Oscar Leong, Vladislav Voroninski
Phase Retrieval Under a Generative Prior. CoRR (2018)
Paul Hand, Oscar Leong, Vladislav Voroninski
Phase Retrieval Under a Generative Prior. NeurIPS (2018)