Fan Zhu

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 13 papers; trusts 1,042 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 504 citations into it; #6,282 of 21,575 by trust here, #4,317 by citations
• Artificial Intelligence — 316 citations into it; #10,214 of 35,345 by trust here, #8,619 by citations
• Optimization & Training — 101 citations into it
• Representation & Self-Supervised Learning — 74 citations into it
• Model Architectures — 70 citations into it
• Media Technology — 37 citations into it
• Evaluation & Benchmarks — 28 citations into it
• Generative Models — 26 citations into it

Whom Fan Zhu trusts overall

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

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

Who trusts Fan Zhu overall

1. Pichao Wang
2. Kaiye Wang
3. Zehua Sun
4. Wanqing Li
5. Cuicui Kang
6. Jun Liu
7. Mei Wang
8. Jakub Konecný
9. S. Deepak
10. Jun Wan

Papers from Fan Zhu's perspective

Ordered by how strongly the researchers Fan Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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

• 3D deep shape descriptor (2015) — 209 citations
• Normalization Techniques in Training DNNs: Methodology, Analysis and Application (2020) — 457 citations
• Attentive Region Embedding Network for Zero-Shot Learning (2019) — 297 citations
• iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images (2019) — 507 citations
• Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval (2015) — 138 citations
• Region Graph Embedding Network for Zero-Shot Learning (2020) — 179 citations
• Transfer Learning for Visual Categorization: A Survey (2015) — 838 citations
• STAR: A Structure and Texture Aware Retinex Model (2019) — 297 citations
• Iterative Normalization: Beyond Standardization Towards Efficient Whitening (2019) — 188 citations
• From handcrafted to learned representations for human action recognition: A survey (2016) — 133 citations
• Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition (2016) — 36 citations
• Cross-Modality Submodular Dictionary Learning for Information Retrieval (2014) — 54 citations
• One shot learning gesture recognition from RGBD images (2012) — 151 citations