Hang Dai
Hang Dai
Research Scientist, IIAI; Assistant Professor, MBZUAI
Verified email at inceptioniai.org
Title
Cited by
Cited by
Year
A 3d morphable model of craniofacial shape and texture variation
H Dai, N Pears, WAP Smith, C Duncan
Proceedings of the IEEE International Conference on Computer Vision, 3085-3093, 2017
312017
Image quality assessment scheme with topographic independent components analysis for sparse feature extraction
Y Ding, H Dai, S Wang
Electronics letters 50 (7), 509-510, 2014
142014
Functional faces: Groupwise dense correspondence using functional maps
C Zhang, WAP Smith, A Dessein, N Pears, H Dai
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
102016
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
Z Zhang, H Fu, H Dai, J Shen, Y Pang, L Shao
International Conference on Medical Image Computing and Computer-Assisted …, 2019
72019
A data-augmented 3d morphable model of the ear
H Dai, N Pears, W Smith
2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018
62018
Automatic detection of microcalcifications with multi-fractal spectrum
Y Ding, H Dai, H Zhang
Bio-medical materials and engineering 24 (6), 3049-3054, 2014
62014
A morphable model of the human head validating the outcomes of an age-dependent scaphocephaly correction
B Robertson, H Dai, N Pears, C Duncan
International Journal of Oral and Maxillofacial Surgery 46, 68, 2017
52017
Symmetric shape morphing for 3d face and head modelling
H Dai, N Pears, W Smith, C Duncan
2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018
42018
Generalized relative quality assessment scheme for reconstructed medical images
S Wang, Y Ding, H Dai, D Qian, X Yu, M Zhang
Bio-medical materials and engineering 24 (6), 2865-2873, 2014
42014
Non-rigid 3d shape registration using an adaptive template
H Dai, N Pears, W Smith
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
32018
Image quality assessment based on multi-order local features description, modeling and quantification
Y Ding, X Zhao, Z Zhang, H Dai
IEICE TRANSACTIONS on Information and Systems 100 (6), 1303-1315, 2017
32017
Symmetry-factored Statistical Modelling of Craniofacial Shape
H Dai, WAP Smith, N Pears, C Duncan
Proceedings of the IEEE International Conference on Computer Vision …, 2017
32017
Blind image quality assessment based on fractal description of natural scenes
Y Ding, H Zhang, X Luo, H Dai
Electronics Letters 51 (4), 338-339, 2015
32015
A 2D morphable model of craniofacial profile and its application to craniosynostosis
H Dai, N Pears, C Duncan
Annual Conference on Medical Image Understanding and Analysis, 731-742, 2017
22017
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds
J Li, S Luo, Z Zhu, H Dai, AS Krylov, Y Ding, L Shao
arXiv preprint arXiv:2004.04962, 2020
2020
Statistical Modeling of Craniofacial Shape and Texture
H Dai, N Pears, W Smith, C Duncan
International Journal of Computer Vision 128 (2), 547-571, 2020
2020
Augmenting a 3D morphable model of the human head with high resolution ears
H Dai, N Pears, W Smith
Pattern Recognition Letters 128, 378-384, 2019
2019
Medical image segmentation using an integrated edge guidance module and object segmentation network
H Fu, J Shen, Z Zhang, H Dai, L Shao
US Patent 10,482,603, 2019
2019
PointAE: Point Auto-encoder for 3D Statistical Shape and Texture Modelling
H Dai, L Shao
ICCV, 5410-5419, 2019
2019
Statistical Modelling of Craniofacial Shape
H Dai
University of York, 2018
2018
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Articles 1–20