Melissa Mozifian

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 135 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #6,566 of 21,575 by trust here, #5,941 by citations
• Artificial Intelligence — 31 citations into it
• Reinforcement Learning — 24 citations into it
• Aerospace Engineering — 9 citations into it; #1,160 of 6,421 by trust here, #922 by citations
• Control and Systems Engineering — 8 citations into it
• Management Science and Operations Research — 8 citations into it
• Environmental Engineering — 5 citations into it; #979 of 5,479 by trust here, #597 by citations
• Generative Models — 5 citations into it

Whom Melissa Mozifian trusts overall

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

1. Diederik P. Kingma
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Andrew Y. Ng
8. Yann LeCun
9. Danilo Jimenez Rezende
10. Karen Simonyan

Who trusts Melissa Mozifian overall

1. Shaoshuai Shi
2. Zetong Yang
3. Eduardo Arnold
4. Ming Liang
5. Zhixin Wang
6. Tianwei Yin
7. Yan Wang
8. Yulong Cao
9. Wu Zheng
10. Martin Simon

Papers from Melissa Mozifian's perspective

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

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

Their papers

• Joint 3D Proposal Generation and Object Detection from View Aggregation (2017) — 1,597 citations
• Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models (2020) — 26 citations