Quanzeng You

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 223 researchers and is trusted by 75 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it; #3,602 of 21,575 by trust here, #3,426 by citations
• Artificial Intelligence — 52 citations into it; #6,923 of 35,345 by trust here, #4,370 by citations
• Natural Language Processing — 22 citations into it; #1,648 of 5,688 by trust here, #1,182 by citations
• Model Architectures — 17 citations into it
• Multimodal Learning — 15 citations into it; #270 of 1,211 by trust here, #325 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Cognitive Neuroscience — 9 citations into it

Whom Quanzeng You trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Alex Krizhevsky
5. Ilya Sutskever
6. Diederik P. Kingma
7. Kaiming He
8. Evan Shelhamer
9. Oriol Vinyals
10. Alex Graves

Who trusts Quanzeng You overall

1. Ting Yao
2. Marcella Cornia
3. Yingwei Pan
4. Youngjae Yu
5. Luowei Zhou
6. Xu Yang
7. Jiasen Lu
8. Baoyu Jing
9. Qi Wu
10. Hanwang Zhang

Papers from Quanzeng You's perspective

Ordered by how strongly the researchers Quanzeng You 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Image Captioning with Semantic Attention (2016) — 1,793 citations
• Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks (2015) — 580 citations
• Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks (2017) — 623 citations
• Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark (2016) — 373 citations