Pengpeng Liang

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #5,824 of 21,575 by trust here, #9,435 by citations

Whom Pengpeng Liang trusts overall

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

1. Joost van de Weijer
2. Junseok Kwon
3. Kaiming He
4. Geoffrey E. Hinton
5. Ming-Hsuan Yang
6. Alex Krizhevsky

Who trusts Pengpeng Liang overall

1. Martin Danelljan
2. Hamed Kiani Galoogahi
3. Goutam Bhat
4. Matthias Mueller
5. Matthias Müller
6. Zhenhua Feng
7. Tianzhu Zhang
8. Matej Kristan
9. Seyed Mojtaba Marvasti-Zadeh
10. Ning Wang

Papers from Pengpeng Liang's perspective

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

Their papers

• Encoding color information for visual tracking: Algorithms and benchmark (2015) — 681 citations