Wen Liu

Computer Vision and Pattern Recognition · with Gao · 2017

A researcher in the Science corpus: 3 papers; trusts 401 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it; #4,435 of 21,575 by trust here, #7,340 by citations
• Artificial Intelligence — 46 citations into it; #5,401 of 35,345 by trust here, #10,430 by citations
• Signal Processing — 9 citations into it
• Computer Networks and Communications — 7 citations into it; #5,611 of 9,886 by trust here, #6,217 by citations

Whom Wen Liu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Ross B. Girshick
5. Navneet Dalal
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. Kaiming He
10. Karen Simonyan

Who trusts Wen Liu overall

1. Joey Tianyi Zhou
2. Jianfeng Feng
3. Trong-Nguyen Nguyen
4. Guansong Pang
5. Yu Tian
6. Radu Tudor Ionescu
7. Dong Gong
8. Zhian Liu
9. Chen Wang
10. Hyunjong Park

Papers from Wen Liu's perspective

Ordered by how strongly the researchers Wen Liu 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Future Frame Prediction for Anomaly Detection - A New Baseline (2017) — 1,395 citations
• A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework (2017) — 831 citations
• Remembering history with convolutional LSTM for anomaly detection (2017) — 531 citations