Gal Metzer

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Computer Graphics and Computer-Aided Design — 28 citations into it
• Generative Models — 25 citations into it
• Computational Mechanics — 21 citations into it

Whom Gal Metzer trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Prafulla Dhariwal
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Jonathan Ho
8. Phillip Isola
9. Ilya Sutskever
10. Yann LeCun

Who trusts Gal Metzer overall

1. Minghua Liu
2. Jiaxiang Tang
3. Rui Chen
4. Ayaan Haque
5. Vikram S. Voleti
6. Wangbo Yu
7. Minrui Xu
8. Chao Xu
9. Lukas Höllein
10. Guocheng Qian

Papers from Gal Metzer's perspective

Ordered by how strongly the researchers Gal Metzer 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures (2022) — 615 citations
• TEXTure: Text-Guided Texturing of 3D Shapes (2023) — 384 citations