Zhuolin Jiang

Computer Vision and Pattern Recognition · 2009–2016

A researcher in the Science corpus: 5 papers; trusts 738 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 123 citations into it; #4,613 of 21,575 by trust here, #7,176 by citations
• Artificial Intelligence — 45 citations into it
• Biomedical Engineering — 30 citations into it
• Computational Mechanics — 26 citations into it; #2,377 of 10,001 by trust here, #4,039 by citations
• Representation & Self-Supervised Learning — 18 citations into it
• Media Technology — 14 citations into it
• Human-Computer Interaction — 8 citations into it; #354 of 2,253 by trust here, #763 by citations

Whom Zhuolin Jiang trusts overall

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

1. Ivan Laptev
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Yann LeCun
6. David G. Lowe
7. Daniel Weinland
8. Yoshua Bengio
9. Ross B. Girshick
10. Diederik P. Kingma

Who trusts Zhuolin Jiang overall

1. Jingjing Zheng
2. Lei Zhang
3. Jimei Yang
4. Ammar Mohammed
5. Jun Wan
6. Gan Sun
7. Yu Luo
8. Yui Man Lui
9. Shuhang Gu
10. Meng Yang

Papers from Zhuolin Jiang's perspective

Ordered by how strongly the researchers Zhuolin Jiang 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. 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

• Recognizing actions by shape-motion prototype trees (2009) — 336 citations
• Learning a discriminative dictionary for sparse coding via label consistent K-SVD (2011) — 784 citations
• Learning View-Invariant Sparse Representations for Cross-View Action Recognition (2013) — 97 citations
• Cross-View Action Recognition via Transferable Dictionary Learning (2016) — 82 citations
• Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition (2013) — 1,241 citations