Zachary Bessinger

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 299 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #16,617 of 21,575 by trust here, #17,258 by citations
• Generative Models — 15 citations into it
• Artificial Intelligence — 11 citations into it
• Signal Processing — 10 citations into it
• Optimization & Training — 7 citations into it
• Media Technology — 5 citations into it

Whom Zachary Bessinger 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. Alex Krizhevsky
5. Yoshua Bengio
6. Jimmy Ba
7. Karen Simonyan
8. Kaiming He
9. Yann LeCun
10. Alec Radford

Who trusts Zachary Bessinger overall

1. Liu Liu
2. Zhedong Zheng
3. Yujiao Shi
4. Sixing Hu
5. Hongdong Li

Papers from Zachary Bessinger's perspective

Ordered by how strongly the researchers Zachary Bessinger 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. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Generative Model of Worldwide Facial Appearance (2019) — 13 citations
• Predicting Ground-Level Scene Layout from Aerial Imagery (2016) — 282 citations