Jordan M. Witte

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #19,006 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 7 citations into it

Whom Jordan M. Witte trusts overall

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

1. Ross B. Girshick
2. Philipp Krahenbuhl
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Diederik P. Kingma
7. Yoshua Bengio

Who trusts Jordan M. Witte overall

1. Oron Ashual

Papers from Jordan M. Witte's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Microsoft COCO: Common Objects in Context
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Semantic Image Retrieval via Active Grounding of Visual Situations (2017) — 10 citations