Shuqiang Jiang

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 5 papers; trusts 1,061 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 134 citations into it; #16,893 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 79 citations into it; #27,546 of 35,345 by trust here, #25,040 by citations
• Multimodal Learning — 34 citations into it
• Natural Language Processing — 28 citations into it
• Model Architectures — 23 citations into it
• Evaluation & Benchmarks — 19 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Media Technology — 7 citations into it

Whom Shuqiang Jiang trusts overall

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

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

Who trusts Shuqiang Jiang overall

1. Simon Kornblith
2. Nicola Messina
3. Youssef Tamaazousti
4. Artzai Picon

Papers from Shuqiang Jiang's perspective

Ordered by how strongly the researchers Shuqiang 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
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

• Scene Recognition with CNNs: Objects, Scales and Dataset Bias (2016) — 225 citations
• Human group activity analysis with fusion of motion and appearance information (2011) — 15 citations
• Know More Say Less: Image Captioning Based on Scene Graphs (2019) — 172 citations
• A Survey on Food Computing (2018) — 385 citations
• Attentive Recurrent Neural Network for Weak-supervised Multi-label Image Classification (2018) — 39 citations