Bo Chen
Computer Vision and Pattern Recognition · 2010
A researcher in the Science corpus: 1 paper; trusts 449 researchers and is trusted by 201 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it; #2,655 of 21,575 by trust here, #17,757 by citations
- Probabilistic & Bayesian Methods — 11 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Artificial Intelligence — 8 citations into it
- Neuroscience — 8 citations into it
- Cognitive Neuroscience — 6 citations into it
- Generative Models — 6 citations into it
- Media Technology — 5 citations into it
Whom Bo Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Graham W. Taylor
- Alex Krizhevsky
- Marc'Aurelio Ranzato
- Dileep George
- Ivan Laptev
- Yann LeCun
- Yoshua Bengio
- Honglak Lee
- Ruslan Salakhutdinov
Who trusts Bo Chen overall
- Karen Simonyan
- Pichao Wang
- Andrew Zisserman
- Wanqing Li
- Behrooz Mahasseni
- Graham W. Taylor
- Philip O. Ogunbona
- Natalia Neverova
- Rasmus Berg Palm
- Jun Wan
Papers from Bo Chen's perspective
Ordered by how strongly the researchers Bo Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep Learning of Invariant Spatio-Temporal Features from Video (2010) — 68 citations