An Optical Range Sensor for Mobile Robot Guidance. - Nick E. Pears; Penelope Probert (ICRA (3), 1993)

An intelligent active range sensor for vehicle guidance: system overview. - Nick E. Pears (IROS, 1996)

Modeling of a scanning laser range sensor for robotic applications. - Nick E. Pears (Adv. Robotics, 1998)

Feature extraction and tracking for scanning range sensors. - Nick E. Pears (Robotics Auton. Syst., 2000)

Ground plane segmentation for mobile robot visual navigation. - Nick E. Pears; Bojian Liang (IROS, 2001)

Mobile robot tracking of pre-planned paths. - Nick E. Pears (Adv. Robotics, 2001)

Visual Navigation using Planar Homographies. - Bojian Liang; Nick E. Pears (ICRA, 2002)

Epipole Estimation under Pure Camera Translation. - Zezhi Chen; Nick E. Pears; John Alexander McDermid; Thomas Heseltine (DICTA, 2003)

Face Recognition: A Comparison of Appearance-Based Approaches. - Thomas Heseltine; Nick E. Pears; Jim Austin; Zezhi Chen (DICTA, 2003)

Three-Dimensional Face Recognition Using Surface Space Combinations. - Thomas Heseltine; Nick E. Pears; Jim Austin (BMVC, 2004)

Plane Segmentation from Two Views in Reciprocal-Polar Image Space. - Zezhi Chen; Nick E. Pears; Bojian Liang; John Alexander McDermid (ICIAR (1), 2004)

Three-Dimensional Face Recognition: A Fishersurface Approach. - Thomas Heseltine; Nick E. Pears; Jim Austin (ICIAR (2), 2004)

Three-dimensional face recognition: an eigensurface approach. - Thomas Heseltine; Nick E. Pears; Jim Austin (ICIP, 2004)

Uncalibrated Two-View Metrology. - Bojian Liang; Zezhi Chen; Nick E. Pears (ICPR (1), 2004)

3d Euclidean Reconstruction of Buildings from Uncalibrated Image Sequences. - Zezhi Chen; Chengke Wu 001; Yong Liu; Nick E. Pears (Int. J. Shape Model., 2004)

Two-stage visual localisation: landmark-based pose initialisation and model-based pose refinement. - Zezhi Chen; Philip Pe; John Alexander McDermid; Nick E. Pears (IROS, 2005)

Mobile Robot Visual Navigation Using Multiple Features. - Nick E. Pears; Bojian Liang; Zezhi Chen (EURASIP J. Adv. Signal Process., 2005)

Isoradius Contours: New Representations and Techniques for 3D Face Registration and Matching. - Nick E. Pears; Thomas Heseltine (3DPVT, 2006)

Human Action Classification Using SVM_2K Classifier on Motion Features. - Hongying Meng; Nick E. Pears; Chris Bailey 002 (MRCS, 2006)

Monocular obstacle detection using reciprocal-polar rectification. - Zezhi Chen; Nick E. Pears; Bojian Liang (Image Vis. Comput., 2006)

A method of visual metrology from uncalibrated images. - Zezhi Chen; Nick E. Pears; Bojian Liang (Pattern Recognit. Lett., 2006)

A Human Action Recognition System for Embedded Computer Vision Application. - Hongying Meng; Nick E. Pears; Chris Bailey 002 (CVPR, 2007)

Motion information combination for fast human action recognition. - Hongying Meng; Nick E. Pears; Chris Bailey 002 (VISAPP (2), 2007)

Motion Feature Combination for Human Action Recognition in Video. - Hongying Meng; Nick E. Pears; Chris Bailey 002 (VISIGRAPP (Selected Papers), 2007)

Practical single view metrology for cuboids. - Nick E. Pears; Paul Wright; Chris Bailey 002 (VISAPP (2), 2007)

RBF shape histograms and their application to 3D face processing. - Nick E. Pears (FG, 2008)

Display Registration for Device Interaction - a Proof of Principle Prototype. - Nick E. Pears; Patrick Olivier; Daniel Jackson 002 (VISAPP (1), 2008)

Three-dimensional face recognition using combinations of surface feature map subspace components. - Thomas Heseltine; Nick E. Pears; Jim Austin (Image Vis. Comput., 2008)

Real-time human action recognition on an embedded, reconfigurable video processing architecture. - Hongying Meng; Michael Freeman; Nick E. Pears; Chris Bailey 002 (J. Real Time Image Process., 2008)

A Multi-scale Piecewise-Linear Feature Detector for Spectrogram Tracks. - Thomas Andrew Lampert; Nick E. Pears; Simon O'Keefe (AVSS, 2009)

Landmark Localisation in 3D Face Data. - Marcelo Romero; Nick E. Pears (AVSS, 2009)

Background Subtraction in Video Using Recursive Mixture Models, Spatio-Temporal Filtering and Shadow Removal. - Zezhi Chen; Nick E. Pears; Michael Freeman; Jim Austin (ISVC (2), 2009)

Smart Phone Interaction with Registered Displays. - Nick E. Pears; Daniel Jackson 002; Patrick Olivier (IEEE Pervasive Comput., 2009)

Descriptive temporal template features for visual motion recognition. - Hongying Meng; Nick E. Pears (Pattern Recognit. Lett., 2009)

Line Detection Methods for Spectrogram Images. - Thomas Andrew Lampert; Simon E. M. O'Keefe; Nick E. Pears (Computer Recognition Systems 3, 2009)

3D face landmark labelling. - Clement Creusot; Nick E. Pears; Jim Austin (3DOR@MM, 2010)

From 3D Point Clouds to Pose-Normalised Depth Maps. - Nick E. Pears; Thomas Heseltine; Marcelo Romero (Int. J. Comput. Vis., 2010)

Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes. - Clement Creusot; Nick E. Pears; Jim Austin (3DIMPVT, 2011)

Automatic make and model recognition from frontal images of cars. - Greg Pearce; Nick E. Pears (AVSS, 2011)

Mobile Device and Intelligent Display Interaction via Scale-invariant Image Feature Matching. - Leigh Herbert; Nick E. Pears; Daniel Jackson 002; Patrick Olivier (PECCS, 2011)

Introduction. - Reinhard Koch; Nick E. Pears; Yonghuai Liu (3D Imaging, Analysis and Applications, 2012)

3D Face Recognition. - Ajmal Mian; Nick E. Pears (3D Imaging, Analysis and Applications, 2012)

Passive 3D Imaging. - Stephen Se; Nick E. Pears (3D Imaging, Analysis and Applications, 2012)

3D landmark model discovery from a registered set of organic shapes. - Clement Creusot; Nick E. Pears; Jim Austin (CVPR Workshops, 2012)

A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes. - Clement Creusot; Nick E. Pears; Jim Austin (Int. J. Comput. Vis., 2013)

Functional Faces: Groupwise Dense Correspondence Using Functional Maps. - Chao Zhang 023; William A. P. Smith; Arnaud Dessein; Nick E. Pears; Hang Dai (CVPR, 2016)

Automatic 3D modelling of craniofacial form. - Nick E. Pears; Christian Duncan (CoRR, 2016)

A 3D Morphable Model of Craniofacial Shape and Texture Variation. - Hang Dai; Nick E. Pears; William A. P. Smith; Christian Duncan (ICCV, 2017)

Symmetry-Factored Statistical Modelling of Craniofacial Shape. - Hang Dai; William A. P. Smith; Nick E. Pears; Christian Duncan (ICCV Workshops, 2017)

A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis. - Hang Dai; Nick E. Pears; Christian Duncan (MIUA, 2017)

Modelling of Orthogonal Craniofacial Profiles. - Hang Dai; Nick E. Pears; Christian Duncan (J. Imaging, 2017)

Non-rigid 3D Shape Registration Using an Adaptive Template. - Hang Dai; Nick E. Pears; William A. P. Smith (ECCV Workshops (4), 2018)

A Data-Augmented 3D Morphable Model of the Ear. - Hang Dai; Nick E. Pears; William A. P. Smith (FG, 2018)

Symmetric Shape Morphing for 3D Face and Head Modelling. - Hang Dai; Nick E. Pears; William A. P. Smith; Christian Duncan (FG, 2018)

Vehicle classification using ResNets, localisation and spatially-weighted pooling. - Rohan Watkins; Nick E. Pears; Suresh Manandhar (CoRR, 2018)

Editorial: Special Issue on Machine Vision. - Edwin R. Hancock; Richard C. Wilson 001; William A. P. Smith; Adrian G. Bors; Nick E. Pears (Int. J. Comput. Vis., 2018)

Combining 3D Morphable Models: A Large Scale Face-And-Head Model. - Stylianos Ploumpis; Haoyang Wang 002; Nick E. Pears; William A. P. Smith; Stefanos Zafeiriou (CVPR, 2019)

Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation. - Chaitanya Kaul; Suresh Manandhar; Nick E. Pears (ISBI, 2019)

SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing. - Chaitanya Kaul; Nick E. Pears; Suresh Manandhar (CoRR, 2019)

Penalizing small errors using an Adaptive Logarithmic Loss. - Chaitanya Kaul; Nick E. Pears; Suresh Manandhar (CoRR, 2019)

Divided We Stand: A Novel Residual Group Attention Mechanism for Medical Image Segmentation. - Chaitanya Kaul; Nick E. Pears; Suresh Manandhar (CoRR, 2019)

Augmenting a 3D morphable model of the human head with high resolution ears. - Hang Dai; Nick E. Pears; William A. P. Smith (Pattern Recognit. Lett., 2019)

Penalizing Small Errors Using an Adaptive Logarithmic Loss. - Chaitanya Kaul; Nick E. Pears; Hang Dai; Roderick Murray-Smith; Suresh Manandhar (ICPR Workshops (1), 2020)

FatNet: A Feature-attentive Network for 3D Point Cloud Processing. - Chaitanya Kaul; Nick E. Pears; Suresh Manandhar (ICPR, 2020)

Statistical Modeling of Craniofacial Shape and Texture. - Hang Dai; Nick E. Pears; William A. P. Smith; Christian Duncan (Int. J. Comput. Vis., 2020)

Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. - Chaitanya Kaul; Nick E. Pears; Hang Dai; Roderick Murray-Smith; Suresh Manandhar (ISBI, 2021)

A Human Ear Reconstruction Autoencoder. - Hao Sun; Nick E. Pears; Hang Dai (VISIGRAPP (5: VISAPP), 2021)

Towards a Complete 3D Morphable Model of the Human Head. - Stylianos Ploumpis; Evangelos Ververas; Eimear O' Sullivan; Stylianos Moschoglou; Haoyang Wang 002; Nick E. Pears; William A. P. Smith; Baris Gecer; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling. - Hao Sun; Nick E. Pears; Yajie Gu (WACV, 2022)

The Effectiveness of Temporal Dependency in Deepfake Video Detection. - Will Rowan; Nick E. Pears (CoRR, 2022)

Adversarial 3D Face Disentanglement of Identity and Expression. - Yajie Gu; Nick E. Pears; Hao Sun (FG, 2023)

Laplacian ICP for Progressive Registration of 3D Human Head Meshes. - Nick E. Pears; Hang Dai; William A. P. Smith; Hao Sun (FG, 2023)

Text2Face: 3D Morphable Faces From Text. - Will Rowan; Patrik Huber 001; Nick E. Pears; Andrew Keeling (Tiny Papers @ ICLR, 2023)

Accurate Gaze Estimation using an Active-gaze Morphable Model. - Hao Sun; Nick E. Pears (CoRR, 2023)

Text2Face: A Multi-Modal 3D Face Model. - Will Rowan; Patrik Huber 001; Nick E. Pears; Andrew Keeling (CoRR, 2023)

Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Shape Estimation. - Will Rowan; Patrik Huber 001; Nick E. Pears; Andrew Keeling (CoRR, 2023)

N Heads Are Better Than One: Exploring Theoretical Performance Bounds of 3D Face Reconstruction Methods. - Will Rowan; Patrik Huber 001; Nick E. Pears; Andrew Keeling (ECCV Workshops (12), 2024)

An Active-Gaze Morphable Model for 3D Gaze Estimation. - Hao Sun; Nick E. Pears; William A. P. Smith (FG, 2024)

How Many OptiFaces? A New Evaluation Metric For 3D Face Reconstruction. - Will Rowan; Patrik Huber 001; Nick E. Pears; Andrew Keeling (Tiny Papers @ ICLR, 2024)

Parts-Based Implicit 3D Face Modeling. - Yajie Gu; Nick E. Pears (VISIGRAPP (2): VISAPP, 2024)