Amir Sadeghian

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 8 papers; trusts 737 researchers and is trusted by 220 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 178 citations into it; #2,614 of 21,575 by trust here, #2,360 by citations
• Artificial Intelligence — 99 citations into it; #11,296 of 35,345 by trust here, #3,687 by citations
• Reinforcement Learning — 35 citations into it
• Ocean Engineering — 30 citations into it; #2,154 of 3,193 by trust here, #518 by citations
• Aerospace Engineering — 27 citations into it; #5,836 of 6,421 by trust here, #3,764 by citations
• Automotive Engineering — 24 citations into it; #2,874 of 3,081 by trust here, #1,096 by citations
• Control and Systems Engineering — 22 citations into it
• Robotics & Control — 22 citations into it

Whom Amir Sadeghian trusts overall

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

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

Who trusts Amir Sadeghian overall

1. Karttikeya Mangalam
2. Xingyi Zhou
3. Javad Amirian
4. Tianpei Gu
5. Ye Yuan
6. Gioele Ciaparrone
7. Tim Salzmann
8. Jiarui Xu
9. Abduallah A. Mohamed
10. Linjie Yang

Papers from Amir Sadeghian's perspective

Ordered by how strongly the researchers Amir Sadeghian 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. 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

• Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression (2019) — 5,784 citations
• Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes (2016) — 946 citations
• Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies (2017) — 551 citations
• SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints (2018) — 1,077 citations
• GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation (2018) — 89 citations
• Deep Visual MPC-Policy Learning for Navigation (2019) — 123 citations
• Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks (2019) — 738 citations
• Deep Local Trajectory Replanning and Control for Robot Navigation (2019) — 72 citations