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Adrian Johnston
Adrian Johnston
Co-Founder & CTO - Xamin.ai
adelaide.edu.auÀÇ À̸ÞÀÏ È®ÀεÊ
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Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume
A Johnston, G Carneiro
Proceedings of the ieee/cvf conference on computer vision and pattern ¡¦, 2020
2302020
Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF
M VerMilyea, JMM Hall, SM Diakiw, A Johnston, T Nguyen, D Perugini, ...
Human Reproduction 35 (4), 770-784, 2020
1992020
Scaling cnns for high resolution volumetric reconstruction from a single image
A Johnston, R Garg, G Carneiro, I Reid, A van den Hengel
Proceedings of the IEEE International Conference on Computer Vision ¡¦, 2017
412017
An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos
SM Diakiw, JMM Hall, M VerMilyea, AYX Lim, W Quangkananurug, ...
Reproductive biomedicine online 45 (6), 1105-1117, 2022
212022
Model-driven performance prediction of distributed real-time embedded defense systems
K Falkner, V Chiprianov, NJG Falkner, C Szabo, J Hill, G Puddy, D Fraser, ...
2013 18th International Conference on Engineering of Complex Computer ¡¦, 2013
122013
3-D modeling from concept sketches of human characters with minimal user interaction
A Johnston, G Carneiro, R Ding, L Velho
2015 International Conference on Digital Image Computing: Techniques and ¡¦, 2015
42015
Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation
A Johnston, G Carneiro
2019 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019
32019
Camera-agnostic self-annotating artificial intelligence (AI) system for blastocyst evaluation
M VerMilyea, JMM Hall, S Diakiw, A Johnston, TDMA Nguyen, A Lim, ...
ESHRE Virtual 36th Annual Meeting, 2020
22020
Decentralized artificial intelligence (ai)/machine learning training system
JMM Hall, D Perugini, M Perugini, T Van NGUYEN, A Johnston
US Patent App. 17/762,659, 2022
12022
Single View 3D Reconstruction using Deep Learning
AR Johnston
12020
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