Josiah Wang

Computer Vision and Pattern Recognition · 2009–2017

A researcher in the Science corpus: 3 papers; trusts 323 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it; #11,093 of 21,575 by trust here, #8,502 by citations
• Artificial Intelligence — 43 citations into it
• Natural Language Processing — 15 citations into it; #3,390 of 5,688 by trust here, #3,190 by citations
• Multimodal Learning — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Model Architectures — 7 citations into it
• Aerospace Engineering — 6 citations into it

Whom Josiah Wang trusts overall

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

1. David G. Lowe
2. Ross B. Girshick
3. Andrew Zisserman
4. Kaiming He
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Karen Simonyan
8. Rob Fergus
9. Ilya Sutskever
10. Li Fei-Fei

Who trusts Josiah Wang overall

1. Yiwu Zhong
2. Hafeez Anwar
3. Thomas Berg
4. Hanwang Zhang
5. Devi Parikh
6. Kristen Grauman
7. Cody A. Coleman
8. Alec Radford
9. Jianwei Yang
10. Sebastian Zambanini

Papers from Josiah Wang's perspective

Ordered by how strongly the researchers Josiah Wang 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
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

• Learning Models for Object Recognition from Natural Language Descriptions (2009) — 237 citations
• Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection (2016) — 115 citations
• Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation (2017) — 17 citations