Elad Richardson

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 6 papers; trusts 638 researchers and is trusted by 198 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 163 citations into it; #2,562 of 21,575 by trust here, #3,057 by citations
• Generative Models — 60 citations into it; #777 of 1,956 by trust here, #733 by citations
• Computational Mechanics — 38 citations into it
• Computer Graphics and Computer-Aided Design — 35 citations into it
• Artificial Intelligence — 26 citations into it
• Multimodal Learning — 21 citations into it
• Signal Processing — 9 citations into it; #1,316 of 7,572 by trust here, #2,911 by citations
• Model Architectures — 8 citations into it

Whom Elad Richardson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. Karen Simonyan
10. Andrew Zisserman

Who trusts Elad Richardson overall

1. Ayush Kumar Tewari
2. Michael Zollhöfer
3. Hyeongwoo Kim
4. Anh Tuan Tran
5. Yuval Alaluf
6. Xian-Feng Han
7. Luan Tran
8. Matan Sela
9. Yao Feng
10. Baris Gecer

Papers from Elad Richardson's perspective

Ordered by how strongly the researchers Elad Richardson trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation (2020) — 1,287 citations
• Learning Detailed Face Reconstruction from a Single Image (2016) — 359 citations
• Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation (2017) — 274 citations
• 3D Face Reconstruction by Learning from Synthetic Data (2016) — 319 citations
• Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures (2022) — 615 citations
• TEXTure: Text-Guided Texturing of 3D Shapes (2023) — 384 citations