Jinwen Tian

Computer Vision and Pattern Recognition · 2010–2016

A researcher in the Science corpus: 4 papers; trusts 208 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #8,824 of 21,575 by trust here, #9,722 by citations
• Aerospace Engineering — 14 citations into it; #5,794 of 6,421 by trust here, #4,945 by citations
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Media Technology — 9 citations into it; #1,535 of 3,621 by trust here, #1,206 by citations
• Statistical Learning Theory — 8 citations into it
• Statistics and Probability — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Jinwen Tian trusts overall

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

1. David G. Lowe
2. Yoshua Bengio
3. Christopher K. I. Williams
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Sam T. Roweis
8. Radford M. Neal
9. Andrea Vedaldi
10. Kaiming He

Who trusts Jinwen Tian overall

1. Jiayi Ma
2. Xingyu Jiang
3. Gong Cheng
4. Wei Li
5. Yansheng Li

Papers from Jinwen Tian's perspective

Ordered by how strongly the researchers Jinwen Tian 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification (2016) — 138 citations
• Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming (2015) — 457 citations
• Robust Point Matching via Vector Field Consensus (2014) — 551 citations
• Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification (2010) — 547 citations