Chuck Rosenberg

Computer Vision and Pattern Recognition · 2005–2019

A researcher in the Science corpus: 4 papers; trusts 154 researchers and is trusted by 647 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #1,704 of 21,575 by trust here, #2,679 by citations
• Artificial Intelligence — 51 citations into it; #4,310 of 35,345 by trust here, #3,457 by citations
• Media Technology — 5 citations into it

Whom Chuck Rosenberg trusts overall

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

1. Kamal Nigam
2. Rob Fergus
3. Geoffrey E. Hinton
4. Li Fei-Fei
5. Alex Krizhevsky
6. Pietro Perona
7. Ilya Sutskever
8. David G. Lowe
9. Andrew Zisserman
10. Yoshua Bengio

Who trusts Chuck Rosenberg overall

1. Zdenek Kalal
2. Gabriella Csurka
3. David Berthelot
4. Ishan Misra
5. Kihyuk Sohn
6. Liang-Chieh Chen
7. Yanchao Yang
8. Nicholas Carlini
9. Jesper E. van Engelen
10. Yanbei Chen

Papers from Chuck Rosenberg's perspective

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

Their papers

• Learning Fine-Grained Image Similarity with Deep Ranking (2014) — 1,369 citations
• Semi-Supervised Self-Training of Object Detection Models (2005) — 897 citations
• Learning semantic relationships for better action retrieval in images (2015) — 116 citations
• Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems (2019) — 143 citations