Shaoxiang Chen

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 596 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 88 citations into it; #11,096 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 57 citations into it
• Model Architectures — 22 citations into it
• Multimodal Learning — 22 citations into it; #616 of 1,211 by trust here, #1,104 by citations
• Safety, Robustness & Interpretability — 18 citations into it
• Natural Language Processing — 17 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Shaoxiang Chen trusts overall

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

1. Christian Szegedy
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ilya Sutskever
5. Yoshua Bengio
6. Kaiming He
7. Karen Simonyan
8. Diederik P. Kingma
9. Sepp Hochreiter
10. Yann LeCun

Who trusts Shaoxiang Chen overall

1. Paul Hongsuck Seo
2. Bairui Wang
3. Wenhao Jiang
4. Jianfeng Wang
5. Arsha Nagrani
6. Wei David Liu
7. Lin Ma
8. Anurag Arnab
9. Zhengyuan Yang

Papers from Shaoxiang Chen's perspective

Ordered by how strongly the researchers Shaoxiang Chen 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. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Motion Guided Spatial Attention for Video Captioning (2019) — 133 citations
• Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos (2020) — 113 citations
• Black-box Adversarial Attacks on Video Recognition Models (2019) — 171 citations