Max Schwarz

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #10,402 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 5 citations into it; #16,365 of 35,345 by trust here, #20,377 by citations

Whom Max Schwarz trusts overall

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

1. Sven Behnke
2. Alex Krizhevsky
3. Yann LeCun
4. Geoffrey E. Hinton
5. Liefeng Bo
6. Ilya Sutskever
7. Ross B. Girshick
8. Yoshua Bengio
9. Yangqing Jia
10. Anat Levin

Who trusts Max Schwarz overall

1. Bo Li
2. Oliver Lemon
3. Jose L. Part
4. Yu Xiang
5. Andreas Eitel
6. Yen-Chen Lin
7. Chen Wang
8. Tianlei Zhang
9. Tanner Schmidt
10. Jost Tobias Springenberg

Papers from Max Schwarz's perspective

Ordered by how strongly the researchers Max Schwarz 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features (2015) — 346 citations