Jianping Fan

Computer Vision and Pattern Recognition · 2001–2021

A researcher in the Science corpus: 7 papers; trusts 773 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 263 citations into it; #7,063 of 21,575 by trust here, #4,726 by citations
• Artificial Intelligence — 176 citations into it; #11,549 of 35,345 by trust here, #7,172 by citations
• Model Architectures — 82 citations into it
• Multimodal Learning — 54 citations into it; #411 of 1,211 by trust here, #499 by citations
• Natural Language Processing — 33 citations into it
• Representation & Self-Supervised Learning — 23 citations into it
• Optimization & Training — 9 citations into it

Whom Jianping Fan trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ross B. Girshick
6. Ilya Sutskever
7. Yann LeCun
8. Diederik P. Kingma
9. Andrew Zisserman
10. Sepp Hochreiter

Who trusts Jianping Fan overall

1. Frank Yeong-Chyang Shih
2. Chaowei Fang
3. Junwei Han
4. Zhou Yu
5. Alireza Norouzi
6. Shouxian Cheng
7. Xinlei Chen
8. Yundong Zhang
9. Jun Yu
10. Dalu Guo

Papers from Jianping Fan's perspective

Ordered by how strongly the researchers Jianping Fan 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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

• Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering (2017) — 741 citations
• Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering (2017) — 524 citations
• Harvesting large-scale weakly-tagged image databases from the web (2010) — 55 citations
• A Survey of Visual Transformers (2021) — 550 citations
• iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning (2017) — 322 citations
• Seeded region growing: an extensive and comparative study (2005) — 319 citations
• Automatic image segmentation by integrating color-edge extraction and seeded region growing (2001) — 662 citations