Hooman Shayani

According to our database, Hooman Shayani authored at least 19 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Make-A-Shape: a Ten-Million-scale 3D Shape Model.

Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu

CoRR, 2024

2023

Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation.

Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki

CoRR, 2023

CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language.

Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text.

Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie

CoRR, 2022

CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly.

Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

UNIST: Unpaired Neural Implicit Shape Translation Network.

Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps.

Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BRepNet: A Topological Message Passing System for Solid Models.

Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

UV-Net: Learning From Boundary Representations.

Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel J. W. Morris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

UV-Net: Learning from Curve-Networks and Solids.

Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Thomas Davies, Hooman Shayani, Nigel J. W. Morris

CoRR, 2020

2013

A practical investigation into achieving bio-plausibility in evo-devo neural microcircuits feasible in an FPGA.

Hooman Shayani

PhD thesis, 2013

2010

Fast bio-inspired computation using a GPU-based systemic computer.

Marjan Rouhipour, Peter J. Bentley, Hooman Shayani

Parallel Comput., 2010

Systemic Computation Using Graphics Processors.

Marjan Rouhipour, Peter J. Bentley, Hooman Shayani

Proceedings of the Evolvable Systems: From Biology to Hardware, 2010

2009

The challenge of irrationality: fractal protein recipes for PI.

Jean Krohn, Peter J. Bentley, Hooman Shayani

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A Multi-cellular Developmental Representation for Evolution of Adaptive Spiking Neural Microcircuits in an FPGA.

Hooman Shayani, Peter J. Bentley, Andy M. Tyrrell

Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2009

2008

A Cellular Structure for Online Routing of Digital Spiking Neuron Axons and Dendrites on FPGAs.

Hooman Shayani, Peter J. Bentley, Andy M. Tyrrell

Proceedings of the Evolvable Systems: From Biology to Hardware, 2008

An FPGA-based model suitable for evolution and development of spiking neural networks.

Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrell

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Hardware Implementation of a Bio-plausible Neuron Model for Evolution and Growth of Spiking Neural Networks on FPGA.

Hooman Shayani, Peter J. Bentley, Andy M. Tyrrell

Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2008

2007

A more bio-plausible approach to the evolutionary inference of finite state machines.

Hooman Shayani, Peter J. Bentley

Proceedings of the Genetic and Evolutionary Computation Conference, 2007