Elad Richardson
10 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (22)
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Topic Evolution
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Trend Setter
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Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(6)
Computer Vision
(4)
Machine Learning
(3)
Generation
(3)
Models
(3)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Applications
(1)
Core AI
(1)
Optimization & Theory Β· Machine Learning
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
convolutional neural network
(2)
neural representation
(2)
3d reconstruction
(1)
image generation
(1)
computer vision
(1)
hyperparameter optimization
(1)
knowledge distillation
(1)
3d shape generation
(1)
image-to-image translation
(1)
deep learning
(1)
image segmentation
(1)
geometric structure
(1)
implicit neural representation
(1)
stochastic optimization
(1)
synthetic data
(1)
latent space
(1)
neural radiance field
(1)
score distillation sampling
(1)
latent diffusion model
(1)
unsupervised learning
(1)
Papers
NeuralSVG: An Implicit Representation for Text-to-Vector Generation
ICCV 2025
LCM-Lookahead for Encoder-based Text-to-Image Personalization
ECCV 2024
MyVLM: Personalizing VLMs for User-Specific Queries
ECCV 2024
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
CVPR 2023
NeRN: Learning Neural Representations for Neural Networks
ICLR 2023
Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation
CVPR 2021
It's All About The Scale - Efficient Text Detection Using Adaptive Scaling
WACV 2020
Learning Detailed Face Reconstruction From a Single Image
CVPR 2017
Unrestricted Facial Geometry Reconstruction Using Image-To-Image Translation
ICCV 2017
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
NeurIPS 2016