Alireza Zareian

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 876 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 150 citations into it; #7,575 of 21,575 by trust here, #5,941 by citations
• Artificial Intelligence — 110 citations into it; #15,673 of 35,345 by trust here, #15,236 by citations
• Multimodal Learning — 42 citations into it; #555 of 1,211 by trust here, #790 by citations
• Representation & Self-Supervised Learning — 24 citations into it
• Natural Language Processing — 23 citations into it
• Model Architectures — 17 citations into it
• Large Language Models — 8 citations into it

Whom Alireza Zareian trusts overall

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

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

Who trusts Alireza Zareian overall

1. Xiuye Gu
2. Golnaz Ghiasi
3. Yiwu Zhong
4. Zheng Ding
5. Yin Cui
6. Jesús Torrado
7. Weicheng Kuo
8. Tsung-Yi Lin
9. Jian Ding
10. Jianwei Yang

Papers from Alireza Zareian's perspective

Ordered by how strongly the researchers Alireza Zareian 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. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Open-Vocabulary Object Detection Using Captions (2020) — 613 citations
• CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos (2017) — 586 citations
• Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions (2021) — 54 citations
• Learning Visual Commonsense for Robust Scene Graph Generation (2020) — 304 citations