Yunlong Bian

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 12 citations into it

Whom Yunlong Bian trusts overall

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

1. Karen Simonyan
2. François Chollet
3. Andrew Zisserman
4. Christian Szegedy
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Kaiming He
8. Yoshua Bengio
9. Sergey Ioffe
10. Yann LeCun

Who trusts Yunlong Bian overall

1. Weiyao Wang
2. Du Tran
3. Zongbo Han
4. Fanyi Xiao
5. Deepti Ghadiyaram
6. Matt Feiszli

Papers from Yunlong Bian's perspective

Ordered by how strongly the researchers Yunlong Bian 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification (2017) — 49 citations