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2020 – today
- 2021
[c10]Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel J. W. Morris:
UV-Net: Learning From Boundary Representations. CVPR 2021: 11703-11712- [c9]Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani:
BRepNet: A Topological Message Passing System for Solid Models. CVPR 2021: 12773-12782 - [c8]Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne:
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. ICCV 2021: 9670-9679 - [i5]Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani:
BRepNet: A topological message passing system for solid models. CoRR abs/2104.00706 (2021) - [i4]Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CoRR abs/2104.05652 (2021) - [i3]Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne:
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. CoRR abs/2105.02961 (2021) - [i2]Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
UNIST: Unpaired Neural Implicit Shape Translation Network. CoRR abs/2112.05381 (2021) - 2020
- [i1]Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Thomas Davies, Hooman Shayani, Nigel J. W. Morris:
UV-Net: Learning from Curve-Networks and Solids. CoRR abs/2006.10211 (2020)
2010 – 2019
- 2013
- [b1]Hooman Shayani:
A practical investigation into achieving bio-plausibility in evo-devo neural microcircuits feasible in an FPGA. University College London, UK, 2013 - 2010
- [j1]Marjan Rouhipour, Peter J. Bentley
, Hooman Shayani:
Fast bio-inspired computation using a GPU-based systemic computer. Parallel Comput. 36(10-11): 591-617 (2010) - [c7]Marjan Rouhipour, Peter J. Bentley, Hooman Shayani:
Systemic Computation Using Graphics Processors. ICES 2010: 121-132
2000 – 2009
- 2009
- [c6]Hooman Shayani, Peter J. Bentley, Andy M. Tyrrell:
A Multi-cellular Developmental Representation for Evolution of Adaptive Spiking Neural Microcircuits in an FPGA. AHS 2009: 3-10 - [c5]Jean Krohn, Peter J. Bentley, Hooman Shayani:
The challenge of irrationality: fractal protein recipes for PI. GECCO 2009: 715-722 - 2008
- [c4]Hooman Shayani, Peter J. Bentley, Andy M. Tyrrell:
Hardware Implementation of a Bio-plausible Neuron Model for Evolution and Growth of Spiking Neural Networks on FPGA. AHS 2008: 236-243 - [c3]Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrell:
An FPGA-based model suitable for evolution and development of spiking neural networks. ESANN 2008: 197-202 - [c2]Hooman Shayani, Peter J. Bentley, Andy M. Tyrrell:
A Cellular Structure for Online Routing of Digital Spiking Neuron Axons and Dendrites on FPGAs. ICES 2008: 273-284 - 2007
- [c1]Hooman Shayani, Peter J. Bentley:
A more bio-plausible approach to the evolutionary inference of finite state machines. GECCO (Companion) 2007: 2937-2944
Coauthor Index
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