E. Vig

Computer Vision and Pattern Recognition · 2012–2018

A researcher in the Science corpus: 5 papers; trusts 798 researchers and is trusted by 282 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 134 citations into it; #2,384 of 21,575 by trust here, #3,598 by citations
• Artificial Intelligence — 59 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Aerospace Engineering — 10 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 9 citations into it
• Media Technology — 8 citations into it; #1,939 of 3,621 by trust here, #1,696 by citations
• Cognitive Neuroscience — 7 citations into it; #2,021 of 10,852 by trust here, #5,043 by citations

Whom E. Vig trusts overall

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

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

Who trusts E. Vig overall

1. Wenguan Wang
2. Junting Pan
3. Xue Yang
4. Jianbing Shen
5. Marcella Cornia
6. Lucas Theis
7. Waqas Sultani
8. Matthias Kümmerer
9. Heng Wang
10. Zhong-Qiu Zhao

Papers from E. Vig's perspective

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

Their papers

• VirtualWorlds as Proxy for Multi-object Tracking Analysis (2016) — 1,225 citations
• Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images (2014) — 451 citations
• Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements (2012) — 131 citations
• Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery (2018) — 328 citations
• Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition (2016) — 44 citations