Hooman Shayani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGGRAPH | DualBrep: A Dual-Field Continuous Representation for B-rep Modelling. | Yilin Liu, Pradeep Kumar Jayaraman, Chinthala Reddy, Xiang Xu, Hooman Shayani |
| 2024 | ICML | 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 |
| 2023 | CVPR | 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 |
| 2022 | CVPR | UNIST: Unpaired Neural Implicit Shape Translation Network. | Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang |
| 2022 | CVPR | 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 |
| 2021 | CVPR | 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 |
| 2021 | CVPR | 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 |
| 2021 | ICCV | 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 |
| 2009 | GECCO | The challenge of irrationality: fractal protein recipes for PI. | Jean Krohn, Peter J. Bentley, Hooman Shayani |
| 2008 | ESANN | An FPGA-based model suitable for evolution and development of spiking neural networks. | Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrell |
| 2007 | GECCO | A more bio-plausible approach to the evolutionary inference of finite state machines. | Hooman Shayani, Peter J. Bentley |