Anselm Haselhoff

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #21,173 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Anselm Haselhoff trusts overall

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

1. Bianca Zadrozny
2. Kaiming He
3. Shaoqing Ren

Who trusts Anselm Haselhoff overall

1. Prashant Bhat

Papers from Anselm Haselhoff's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Microsoft COCO: Common Objects in Context
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Multivariate Confidence Calibration for Object Detection (2020) — 146 citations