Junping Du

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 403 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 100 citations into it; #9,536 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 33 citations into it; #26,557 of 35,345 by trust here, #25,040 by citations
• Model Architectures — 21 citations into it
• Media Technology — 13 citations into it
• Experimental and Cognitive Psychology — 12 citations into it; #3,562 of 9,731 by trust here, #5,956 by citations
• Optimization & Training — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Signal Processing — 8 citations into it

Whom Junping Du trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Karen Simonyan
5. Yann LeCun
6. Kaiming He
7. Ilya Sutskever
8. Andrew Zisserman
9. Diederik P. Kingma
10. Christian Szegedy

Who trusts Junping Du overall

1. Weihong Deng
2. Shan Li
3. Dimitrios Kollias

Papers from Junping Du's perspective

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

Their papers

• Low-Light Image Enhancement via a Deep Hybrid Network (2019) — 460 citations
• Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017) — 1,348 citations
• Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation (2017) — 132 citations