Weixin Luo

Computer Vision and Pattern Recognition · 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; #4,434 of 21,575 by trust here, #7,340 by citations
• Artificial Intelligence — 46 citations into it; #5,400 of 35,345 by trust here, #10,430 by citations
• Signal Processing — 9 citations into it
• Computer Networks and Communications — 7 citations into it; #5,610 of 9,886 by trust here, #6,217 by citations

Whom Weixin Luo trusts overall

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

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

Who trusts Weixin Luo overall

1. Joey Tianyi Zhou
2. Wen Liu
3. Zhian Liu
4. Guansong Pang
5. Jianfeng Feng
6. Hyunjong Park
7. Sijie Li
8. Niv Cohen
9. Muhammad Mohsin Waqas
10. Yu Tian

Papers from Weixin Luo's perspective

Ordered by how strongly the researchers Weixin Luo 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. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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