- 2024
- Will Rowan, Patrik Huber, Nick E. Pears, Andrew Keeling:
How Many OptiFaces? A New Evaluation Metric For 3D Face Reconstruction. Tiny Papers @ ICLR 2024 - Yajie Gu, Nick E. Pears:
Parts-Based Implicit 3D Face Modeling. VISIGRAPP (2): VISAPP 2024: 201-212 - 2023
- Richard J. Packer
, Alex T. Williams, William Hennah, Micaela T. Eisenberg, Nick Shrine, Katherine A Fawcett, Willow Pearson, Anna L. Guyatt, Ahmed Edris, Edward J. Hollox, Mikko Marttila, Balasubramanya S. Rao, John Raymond Bratty, Louise V. Wain, Frank Dudbridge, Martin D. Tobin
:
DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies. Bioinform. 39(4) (2023) - Yajie Gu, Nick E. Pears, Hao Sun:
Adversarial 3D Face Disentanglement of Identity and Expression. FG 2023: 1-7 - Nick E. Pears, Hang Dai, William A. P. Smith, Hao Sun:
Laplacian ICP for Progressive Registration of 3D Human Head Meshes. FG 2023: 1-7 - Will Rowan, Patrik Huber, Nick E. Pears, Andrew Keeling:
Text2Face: 3D Morphable Faces From Text. Tiny Papers @ ICLR 2023 - Shibao Yang, Pengcheng Liu, Nick Pears:
Benchmarking of Robot Arm Motion Planning in Cluttered Environments. ICAC 2023: 1-6 - Hao Sun, Nick E. Pears:
Accurate Gaze Estimation using an Active-gaze Morphable Model. CoRR abs/2301.13186 (2023) - Nick E. Pears, Hang Dai, William A. P. Smith, Hao Sun:
Laplacian ICP for Progressive Registration of 3D Human Head Meshes. CoRR abs/2302.02194 (2023) - Will Rowan, Patrik Huber, Nick E. Pears, Andrew Keeling
:
Text2Face: A Multi-Modal 3D Face Model. CoRR abs/2303.02688 (2023) - Will Rowan, Patrik Huber, Nick E. Pears, Andrew Keeling:
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Shape Estimation. CoRR abs/2307.13639 (2023) - Benji Alwis, Nick Pears, Pengcheng Liu:
Meta Learning for Multi-View Visuomotor Systems. CoRR abs/2310.20414 (2023) - 2022
- Hao Sun, Nick E. Pears, Yajie Gu:
Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling. WACV 2022: 2334-2343 - Will Rowan, Nick E. Pears:
The Effectiveness of Temporal Dependency in Deepfake Video Detection. CoRR abs/2205.06684 (2022) - 2021
- Stylianos Ploumpis
, Evangelos Ververas
, Eimear O' Sullivan
, Stylianos Moschoglou
, Haoyang Wang
, Nick E. Pears
, William A. P. Smith
, Baris Gecer
, Stefanos Zafeiriou
:
Towards a Complete 3D Morphable Model of the Human Head. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4142-4160 (2021) - Chaitanya Kaul
, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar:
Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. ISBI 2021: 1042-1046 - Hao Sun, Nick E. Pears, Hang Dai:
A Human Ear Reconstruction Autoencoder. VISIGRAPP (5: VISAPP) 2021: 136-145 - Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
FatNet: A Feature-attentive Network for 3D Point Cloud Processing. CoRR abs/2104.03427 (2021) - 2020
- Hang Dai, Nick E. Pears
, William A. P. Smith
, Christian Duncan:
Statistical Modeling of Craniofacial Shape and Texture. Int. J. Comput. Vis. 128(2): 547-571 (2020) - Chaitanya Kaul
, Nick E. Pears
, Hang Dai
, Roderick Murray-Smith
, Suresh Manandhar
:
Penalizing Small Errors Using an Adaptive Logarithmic Loss. ICPR Workshops (1) 2020: 368-375 - Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
FatNet: A Feature-attentive Network for 3D Point Cloud Processing. ICPR 2020: 7211-7218 - Hao Sun, Nick E. Pears, Hang Dai:
A Human Ear Reconstruction Autoencoder. CoRR abs/2010.03972 (2020) - 2019
- Hang Dai, Nick E. Pears
, William A. P. Smith
:
Augmenting a 3D morphable model of the human head with high resolution ears. Pattern Recognit. Lett. 128: 378-384 (2019) - Stylianos Ploumpis, Haoyang Wang, Nick E. Pears, William A. P. Smith
, Stefanos Zafeiriou:
Combining 3D Morphable Models: A Large Scale Face-And-Head Model. CVPR 2019: 10934-10943 - Chaitanya Kaul
, Suresh Manandhar, Nick E. Pears:
Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation. ISBI 2019: 455-458 - Chaitanya Kaul, Suresh Manandhar, Nick E. Pears:
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation. CoRR abs/1902.03091 (2019) - Stylianos Ploumpis, Haoyang Wang, Nick E. Pears, William A. P. Smith, Stefanos Zafeiriou:
Combining 3D Morphable Models: A Large scale Face-and-Head Model. CoRR abs/1903.03785 (2019) - Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing. CoRR abs/1905.07650 (2019) - Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
Penalizing small errors using an Adaptive Logarithmic Loss. CoRR abs/1910.09717 (2019) - Stylianos Ploumpis, Evangelos Ververas, Eimear O' Sullivan, Stylianos Moschoglou, Haoyang Wang, Nick E. Pears, William A. P. Smith, Baris Gecer, Stefanos Zafeiriou:
Towards a complete 3D morphable model of the human head. CoRR abs/1911.08008 (2019)