Hooman Shayani
7 papers · 2021–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Computer Vision
(7)
Deep Learning
(6)
Analysis
(5)
Machine Learning
(4)
Architectures
(4)
Generation
(3)
Models
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Core AI
(1)
Keywords
3d vision
(2)
graph neural network
(2)
cad model
(2)
boundary representation
(2)
3d shape generation
(1)
self-supervised learning
(1)
3d reconstruction
(1)
conditional generation
(1)
few-shot learning
(1)
implicit representation
(1)
message passing
(1)
shape reconstruction
(1)
diffusion model
(1)
latent space
(1)
zero-shot generation
(1)
3d generation
(1)
point cloud
(1)
3d shape
(1)
3d shape analysis
(1)
zero-shot learning
(1)
Papers
Make-A-Shape: a Ten-Million-scale 3D Shape Model
ICML 2024
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language
CVPR 2023
CAPRI-Net: Learning Compact CAD Shapes With Adaptive Primitive Assembly
CVPR 2022
UNIST: Unpaired Neural Implicit Shape Translation Network
CVPR 2022
BRepNet: A Topological Message Passing System for Solid Models
CVPR 2021
UV-Net: Learning From Boundary Representations
CVPR 2021
UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps
ICCV 2021