Pan He
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 4 papers; trusts 609 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 137 citations into it; #7,672 of 21,575 by trust here, #6,606 by citations
- Artificial Intelligence — 127 citations into it; #21,098 of 35,345 by trust here, #8,365 by citations
- Safety, Robustness & Interpretability — 86 citations into it; #1,684 of 2,251 by trust here, #876 by citations
- Signal Processing — 34 citations into it
- Model Architectures — 27 citations into it
- Media Technology — 25 citations into it
- Natural Language Processing — 21 citations into it
- Computer Networks and Communications — 14 citations into it
Whom Pan He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Graves
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
- Diederik P. Kingma
- Kaiming He
Who trusts Pan He overall
- Shangbang Long
- Minghui Liao
- Tong He
- Cong Yao
- Pengyuan Lyu
- Baoguang Shi
- Xin He
- Yixing Zhu
- Mingkun Yang
- Hui Li
Papers from Pan He's perspective
Ordered by how strongly the researchers Pan He 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Detecting Text in Natural Image with Connectionist Text Proposal Network (2016) — 1,005 citations
- Adversarial Examples: Attacks and Defenses for Deep Learning (2017) — 1,830 citations
- Single Shot Text Detector with Regional Attention (2017) — 315 citations
- Reading Scene Text in Deep Convolutional Sequences (2015) — 321 citations