Hamid Reza Vaezi Joze

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 504 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it
• Artificial Intelligence — 35 citations into it
• Human-Computer Interaction — 23 citations into it
• Biomedical Engineering — 15 citations into it
• Signal Processing — 13 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Model Architectures — 12 citations into it
• Developmental and Educational Psychology — 9 citations into it

Whom Hamid Reza Vaezi Joze trusts overall

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

1. Andrew Zisserman
2. Karen Simonyan
3. Christian Szegedy
4. Kaiming He
5. Sergey Ioffe
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Jia Deng
9. João Carreira
10. Yoshua Bengio

Papers from Hamid Reza Vaezi Joze's perspective

Ordered by how strongly the researchers Hamid Reza Vaezi Joze 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language (2018) — 332 citations
• MMTM: Multimodal Transfer Module for CNN Fusion (2019) — 399 citations