Superpixel lattices. - Alastair Philip Moore; Simon Prince; Jonathan Warrell; Umar Mohammed; Graham Jones (CVPR, 2008)

Tied Factor Analysis for Face Recognition across Large Pose Differences. - Simon J. D. Prince; James H. Elder; Jonathan Warrell; Fatima M. Felisberti (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Vistas: Hierarchial Boundary priors using Multiscale Conditional Random Fields. - Jonathan Warrell; Alastair Philip Moore; Simon Prince (BMVC, 2009)

Epitomized priors for multi-labeling problems. - Jonathan Warrell; Simon J. D. Prince; Alastair Philip Moore (CVPR, 2009)

Patch-based within-object classification. - Jania Aghajanian; Jonathan Warrell; Simon J. D. Prince; Peng Li; Jennifer L. Rohn; Buzz Baum (ICCV, 2009)

Scene shape priors for superpixel segmentation. - Alastair Philip Moore; Simon J. D. Prince; Jonathan Warrell; Umar Mohammed; Graham Jones (ICCV, 2009)

Labelfaces: Parsing facial features by multiclass labeling with an epitome prior. - Jonathan Warrell; Simon J. D. Prince (ICIP, 2009)

Context-based additive logistic model for facial keypoint localization. - Peng Li; Jonathan Warrell; Jania Aghajanian; Simon Prince (BMVC, 2010)

StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers. - Jonathan Warrell; Philip H. S. Torr; Simon Prince (BMVC, 2010)

"Lattice Cut" - Constructing superpixels using layer constraints. - Alastair Philip Moore; Simon J. D. Prince; Jonathan Warrell (CVPR, 2010)

CUDA Implementation of Deformable Pattern Recognition and its Application to MNIST Handwritten Digit Database. - Yoshiki Mizukami; Katsumi Tadamura; Jonathan Warrell; Peng Li; Simon Prince (ICPR, 2010)

Human Instance Segmentation from Video using Detector-based Conditional Random Fields. - Vibhav Vineet; Jonathan Warrell; Lubor Ladicky; Philip H. S. Torr (BMVC, 2011)

Proposal generation for object detection using cascaded ranking SVMs. - Ziming Zhang; Jonathan Warrell; Philip H. S. Torr (CVPR, 2011)

Multiple-Instance Learning with Structured Bag Models. - Jonathan Warrell; Philip H. S. Torr (EMMCVPR, 2011)

Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference. - Vibhav Vineet; Jonathan Warrell; Paul Sturgess; Philip H. S. Torr (BMVC, 2012)

A tiered move-making algorithm for general pairwise MRFs. - Vibhav Vineet; Jonathan Warrell; Philip H. S. Torr (CVPR, 2012)

Probabilistic object and viewpoint models for active object recognition. - Natasha Govender; Jonathan Warrell; Philip H. S. Torr; Fred Nicolls (AFRICON, 2013)

Comparison of active SIFT-based 3D object recognition algorithms. - Mogomotsi Keaikitse; Natasha Govender; Jonathan Warrell (AFRICON, 2013)

Mesh Based Semantic Modelling for Indoor and Outdoor Scenes. - Julien P. C. Valentin; Sunando Sengupta; Jonathan Warrell; Ali Shahrokni; Philip H. S. Torr (CVPR, 2013)

PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth. - Vibhav Vineet; Glenn Sheasby; Jonathan Warrell; Philip H. S. Torr (EMMCVPR, 2013)

Efficient Salient Region Detection with Soft Image Abstraction. - Ming-Ming Cheng; Jonathan Warrell; Wen-Yan Lin; Shuai Zheng 001; Vibhav Vineet; Nigel T. Crook (ICCV, 2013)

ImageSpirit: Verbal Guided Image Parsing. - Ming-Ming Cheng; Shuai Zheng 001; Wen-Yan Lin; Jonathan Warrell; Vibhav Vineet; Paul Sturgess; Nigel T. Crook; Niloy J. Mitra; Philip H. S. Torr (CoRR, 2013)

Dense Semantic Image Segmentation with Objects and Attributes. - Shuai Zheng 001; Ming-Ming Cheng; Jonathan Warrell; Paul Sturgess; Vibhav Vineet; Carsten Rother; Philip H. S. Torr (CVPR, 2014)

A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies. - Vibhav Vineet; Jonathan Warrell; Philip H. S. Torr (CoRR, 2014)

Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces. - Vibhav Vineet; Jonathan Warrell; Philip H. S. Torr (Int. J. Comput. Vis., 2014)

Rank Projection Trees for Multilevel Neural Network Interpretation. - Jonathan Warrell; Hussein Mohsen; Mark Gerstein (CoRR, 2018)

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. - Esther Rheinbay; Morten Muhlig Nielsen; Federico Abascal; Jeremiah Wala; Ofer Shapira; Grace Tiao; Henrik Hornshøj; Julian M. Hess; Randi Istrup Juul; Ziao Lin; Lars Feuerbach; Radhakrishnan Sabarinathan; et al. (Nat., 2020)

A Meta-Probabilistic-Programming Language for Bisimulation of Probabilistic and Non-Well-Founded Type Systems. - Jonathan Warrell; Alexey Potapov; Adam Vandervorst; Ben Goertzel (AGI, 2022)

Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives. - Jonathan Warrell; Mark Gerstein (CoRR, 2022)

Meta-MeTTa: an operational semantics for MeTTa. - Lucius Gregory Meredith; Ben Goertzel; Jonathan Warrell; Adam Vandervorst (CoRR, 2023)

Insights from incorporating quantum computing into drug design workflows. - Bayo Lau; Prashant S. Emani; Jackson Chapman; Lijing Yao; Tarsus Lam; Paul Merrill; Jonathan Warrell; Mark B. Gerstein; Hugo Y. K. Lam (Bioinform., 2023)

Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs. - Tianci Song; Eric Cosatto; Gaoyuan Wang; Rui Kuang; Mark Gerstein; Martin Renqiang Min; Jonathan Warrell (Bioinform., 2024)

Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad. - Jonathan Warrell; Francesco Alesiani; Cameron Smith; Anja Mösch; Martin Renqiang Min (CoRR, 2024)