Blind Image Restoration Using a Block-Stationary Signal Model. - Tom E. Bishop; James R. Hopgood (ICASSP (2), 2006)

Nonstationary Blind Image Restoration using Variational Methods. - Tom E. Bishop; Rafael Molina 001; James R. Hopgood (ICIP (1), 2007)

Blind restoration of blurred photographs via AR modelling and MCMC. - Tom E. Bishop; Rafael Molina 001; James R. Hopgood (ICIP, 2008)

Plenoptic depth estimation from multiple aliased views. - Tom E. Bishop; Paolo Favaro (ICCV Workshops, 2009)

Local Bayesian image restoration using variational methods and Gamma-Normal distributions. - Javier Mateos; Tom E. Bishop; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2009)

Full-Resolution Depth Map Estimation from an Aliased Plenoptic Light Field. - Tom E. Bishop; Paolo Favaro (ACCV (2), 2010)

A Bayesian approach to shape from coded aperture. - Manuel Martinello; Tom E. Bishop; Paolo Favaro (ICIP, 2010)

The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution. - Tom E. Bishop; Paolo Favaro (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Multiview Active Shape Models with SIFT Descriptors for the 300-W Face Landmark Challenge. - Stephen Milborrow; Tom E. Bishop; Fred Nicolls (ICCV Workshops, 2013)

Blind Deconvolution. - Tom E. Bishop; Paolo Favaro (Computer Vision, A Reference Guide, 2014)

SHREWD: Semantic Hierarchy-based Relational Embeddings for Weakly-supervised Deep Hashing. - Heikki Arponen; Tom E. Bishop (CoRR, 2019)

OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold. - Mohamed Yousef; Tom E. Bishop (CVPR, 2020)

Learning to hash with semantic similarity metrics and empirical KL divergence. - Heikki Arponen; Tom E. Bishop (CoRR, 2020)

Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. - Marcos V. Conde; Manuel Kolmet; Tim Seizinger; Tom E. Bishop; Radu Timofte; Xiangyu Kong; Dafeng Zhang; Jinlong Wu; Fan Wang 005; Juewen Peng; Zhiyu Pan; Chengxin Liu; et al. (CVPR Workshops, 2023)

Efficient Multi-Lens Bokeh Effect Rendering and Transformation. - Tim Seizinger; Marcos V. Conde; Manuel Kolmet; Tom E. Bishop; Radu Timofte (CVPR Workshops, 2023)

Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision. - Tzu-Jui Julius Wang; Jorma Laaksonen; Tomas Langer; Heikki Arponen; Tom E. Bishop (WACV, 2023)

No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection. - Mohamed Yousef; Marcel Ackermann 001; Unmesh Kurup; Tom E. Bishop (WACV, 2023)