Nick Pears

Search results

• 2024

  An Active-gaze Morphable Model for 3D Gaze Estimation

  Sun, H., Pears, N. E. & Smith, W. A. P., 27 May 2024, The 18th IEEE International Conference on Automatic Face and Gesture Recognition. IEEE Computer Society, 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Enhancing Learning from Demonstration with DLS-IK and ProMPs

  Yang, S., Liu, P. & Pears, N. E., 30 Aug 2024, The 2024 IEEE International Conference on Automation and Computing (ICAC 2024).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• N Heads Are Better Than One: Exploring Theoretical Performance Bounds of 3D Face Reconstruction Methods

  Rowan, W., Huber, P., Pears, N. E. & Keeling, A., 4 Oct 2024, European Conference on Computer Vision Workshop (ECCVw) 2024: Foundation Models for 3D Humans. Springer Science + Business Media, 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Parts-based Implicit 3D Face Modeling

  Gu, Y. & Pears, N. E., 27 Feb 2024, Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISAPP 2024. Gu, Y. & N., P. (eds.). SciTePress, Vol. 2. p. 201-212 12 p. (VISIGRAPP).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Understanding vocal tract shape variation: lessons from face recognition

  Gully, A. & Pears, N., 29 Aug 2024, (Unpublished).

  Research output: Contribution to conference › Abstract

• 2023

  Artificial Intelligence

  Pears, N. E., 1 Sept 2023

  Research output: Other contribution

• Automatic Respiratory Disease Detection and Classification from Lung Images: A Detailed Review

  Syed, S., Elakkiya, R. & Pears, N. E., 4 Dec 2023, (Accepted/In press) In: Journal of Autonomous Intelligence. 31 p.

  Research output: Contribution to journal › Article › peer-review

• Benchmarking of robot arm motion planning in cluttered environments

  Yang, S., Liu, P. & Pears, N. E., 1 Sept 2023, The 28th International Conference on Automation and Computing (ICAC2023). IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Benchmarking OMPL Planning Algorithms for Robot Arms in Cluttered Settings

  Yang, S., Liu, P. & Pears, N. E., 16 Jun 2023, Yorkshire Innovation in Science and Engineering Conference (YISEC 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Laplacian ICP for Progressive Registration of 3D Human Head Meshes

  Pears, N. E., Dai, H., Smith, W. A. P. & Sun, H., 7 Jan 2023, International Conference on Automatic Face and Gesture Recognition 2023. IEEE, 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Reinforcement Learning-based Adaptive Probabilistic Movement Primitives in Hybrid Scenarios

  Yang, S., Liu, P. & Pears, N. E., 5 Jul 2023, (Accepted/In press) The 24th Annual Conference Towards Autonomous Robotic Systems (TAROS2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Text2Face: 3D Morphable Faces from Text

  Rowan, W., Huber, P., Pears, N. E. & Keeling, A., 1 May 2023, International Conference on Learning Representations 2023: Proceedings. IEEE, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File
• 2022

  Adversarial 3D Face Disentanglement of Identity and Expression

  Gu, Y., Pears, N. E. & Sun, H., 11 Sept 2022, (Accepted/In press) International Conference on Automatic Face and Gesture Recognition 2023. IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Applications of 3D Photography in Craniofacial Surgery

  Duncan, C., Pears, N. E., Dai, H., Smith, W. A. P. & O'Higgins, P., 19 Sept 2022, In: Journal of Paediatric Neurosciences. 17, 5, p. 21-28 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

• The Effectiveness of Temporal Dependency in Deepfake Video Detection

  Rowan, W. & Pears, N. E., 13 May 2022.

  Research output: Working paper

  Open Access
• 2021

  A Human Ear Reconstruction Autoencoder: HERA

  Sun, H., Pears, N. E. & Dai, H., 8 Feb 2021, 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISIGRAPP 2021. SciTePress, Vol. 5. p. 136-145 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• FatNet: A Feature-attentive Network for 3D Point Cloud Processing

  Kaul, C., Pears, N. E. & Manandhar, S., 10 Jan 2021, 25th International Conference on Pattern Recognition. Springer

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• FocusNet++: Attentive Aggregated Transformations for Efficient and Accurate Medical Image Segmentation

  Kaul, C., Pears, N. E., Dai, H., Murray-Smith, R. & Manandhar, S., 25 May 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Growing old: Do women and men age differently?

  Smith, O. A. M., Duncan, C., Pears, N., Profico, A. & O'Higgins, P., 17 Jan 2021, (E-pub ahead of print) In: Anatomical Record. 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

• Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling

  Sun, H., Pears, N. E. & Gu, Y., 4 Oct 2021, (Accepted/In press) Winter Conference on Applications in Computer Vision, Proceedings. IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Penalizing small errors using an Adaptive Logarithmic Loss

  Kaul, C., Pears, N. E., Dai, H., Murray-Smith, R. & Manandhar, S., 10 Jan 2021, 25th International Conference on Pattern Recognition: AIHA-2020 – ICPR International Workshop on Artificial Intelligence for Healthcare Applications. Springer

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 2020

  3D Face Recognition

  Pears, N. E. & Mian, A., 12 Sept 2020, 3D Imaging, Analysis and Applications. Second ed. Springer, p. 569-630 55 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• 3D Imaging, Analysis and Applications, Second Edition

  Liu, Y. (ed.), Pears, N. E. (ed.), Rosin, P. (ed.) & Huber, P. (ed.), 12 Sept 2020, Second ed. Switzerland: Springer. 736 p.

  Research output: Book/Report › Book

• 3D Modeling of craniofacial ontogeny and sexual dimorphism in children

  Smith, O. A. M., Nashed, Y. S. G., Duncan, C., Pears, N., Profico, A. & O'Higgins, P., 26 Dec 2020, (E-pub ahead of print) In: Anatomical Record. 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

• 3D Morphable Models: The Face, Ear and Head

  Dai, H., Pears, N. E., Huber, P. & Smith, W. A. P., 12 Sept 2020, 3D Imaging, Analysis and Applications. 2 ed. Springer

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Introduction to 3D Imaging, Analysis and Applications

  Brunger, J., Koch, R., Pears, N. E., Liu, Y. & Rosin, P., 12 Sept 2020, 3D Imaging, Analysis and Applications. Second ed. London: Springer, p. 1-36 36 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Passive 3D Imaging

  Se, S. & Pears, N. E., 12 Sept 2020, 3D Imaging, Analysis and Applications. Second ed. Springer, p. 39-107 60 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Statistical Modeling of Craniofacial Shape and Texture

  Dai, H., Pears, N. E., Smith, W. A. P. & Duncan, C., Feb 2020, In: International Journal of Computer Vision. 128, p. 547–571 25 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

• Towards a complete 3D morphable model of the human head

  Ploumpis, S., Ververas, E., O'Sullivan, E., Moschoglou, S., Wang, H., Pears, N. E., Smith, W. A. P., Gecer, B. & Zafeiriou, S., 29 Apr 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 0, 18 p., 9082178.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
• 2019

  Augmenting a 3D Morphable Model of the Human Head with High Resolution Ears

  Dai, H., Pears, N. E. & Smith, W. A. P., 1 Dec 2019, In: Pattern Recognition Letters. 128, 378 p.

  Research output: Contribution to journal › Article › peer-review

• Combining 3D Morphable Models: A Large scale Face-and-Head Model

  Ploumpis, S., Wang, H., Pears, N. E., Smith, W. A. P. & Zafeiriou, S., 11 Mar 2019, (Accepted/In press) IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation

  Kaul, C., Manandhar, S. K. & Pears, N. E., Apr 2019, International Symposium on Biomedical Imaging (ISBI). Venice

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2018

  A Data-augmented 3D Morphable Model of the Ear

  Dai, H., Pears, N. E. & Smith, W. A. P., 15 May 2018, The 13th IEEE International Conference on AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2018) . IEEE, 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Editorial: Special Issue on Machine Vision

  Hancock, E., Wilson, R., Smith, W. A. P., Bors, A. & Pears, N., 1 Dec 2018, In: International Journal of Computer Vision. 126, 12, p. 1267-1268 2 p.

  Research output: Contribution to journal › Editorial › peer-review

• Non-rigid 3D Shape Registration using an Adaptive Template

  Dai, H., Pears, N. E. & Smith, W. A. P., 14 Sept 2018. 15 p.

  Research output: Contribution to conference › Paper › peer-review

• Symmetric Shape Morphing for 3D Face and Head Modelling

  Dai, H., Pears, N. E., Smith, W. A. P. & Duncan, C., 15 May 2018, The 13th IEEE Conference on Automatic Face and Gesture Recognition. IEEE, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File
• 2017

  A 2D Morphable Model of Craniofacial Profile and its Application to Craniosynostosis

  Dai, H., Pears, N. E. & Duncan, C., 30 Nov 2017.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

• A 3D Morphable Model of Craniofacial Shape and Texture Variation

  Dai, H., Pears, N. E., Smith, W. A. P. & Duncan, C., 25 Dec 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Vol. 2017-October. p. 3104-3112 9 p. 8237597. ( Title Proceedings / IEEE International Conference on Computer Vision.).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Modelling of Orthogonal Craniofacial Profiles

  Dai, H., Pears, N. E. & Duncan, C., 30 Nov 2017, In: Journal of Imaging. 3, 55, 15 p., 3040055.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
• 2016

  Automatic Modelling of 3D Craniofacial Form

  Pears, N. E. & Duncan, C., 22 Jan 2016, p. 1-57, 57 p.

  Research output: Working paper › Preprint

• Functional Faces: Groupwise Dense Correspondence using Functional Maps

  Zhang, C., Smith, W. A. P., Dessein, A. F., Pears, N. E. & Dai, H., 26 Jun 2016, p. 5033-5041. 9 p.

  Research output: Contribution to conference › Paper › peer-review
• 2015

  A Morphable Profile Model of the Human Head as an Outcome Tool for Craniosynostosis Surgery

  Duncan, C., Armstrong, R. & Pears, N. E., 14 Sept 2015.

  Research output: Contribution to conference › Abstract › peer-review

• 2012

  3D Imaging, Analysis and Applications

  Pears, N. E. (ed.), Liu, Y. (ed.) & Bunting, P. (ed.), 2012, Springer. 500 p.

  Research output: Book/Report › Book

• 3D Landmark Model Discovery from a Registered Set of Organic Shapes

  Creusot, C., Pears, N. & Austin, J., 16 Jun 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . p. 57-64 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes

  Creusot, C., Pears, N. & Austin, J., Mar 2012, In: International Journal of Computer Vision. 102, 1-3, p. 146-179 34 p.

  Research output: Contribution to journal › Article › peer-review
• 2011

  Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes

  Creusot, C., Pears, N. & Austin, J., 2011, Proceedings of the 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission. Washington, DC, USA: IEEE Computer Society, p. 204-211 8 p. (3DIMPVT '11).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2010

  From 3D Point Clouds to Pose-Normalised Depth Maps

  Pears, N., Heseltine, T. & Romero, M., Sept 2010, In: International Journal of Computer Vision. 89, 2-3, p. 152-176 24 p.

  Research output: Contribution to journal › Article › peer-review

  File
• 2009

  A Multi-Scale Piecewise-Linear Feature Detector for Spectrogram Tracks

  Lampert, T., Pears, N. & O'Keefe, S., 2009, AVSS: 2009 6TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE. NEW YORK: IEEE, p. 330-335 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

• Background Subtraction in Video Using Recursive Mixture Models, Spatio-Temporal Filtering and Shadow Removal

  Chen, Z., Pears, N., Freeman, M. & Austin, J., 2009, p. 1141-1150.

  Research output: Contribution to conference › Paper › peer-review

• Descriptive temporal template features for visual motion recognition

  Meng, H. & Pears, N., 1 Sept 2009, In: Pattern Recognition Letters. 30, 12, p. 1049-1058 10 p.

  Research output: Contribution to journal › Article › peer-review