Siyuan Qi

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 793 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 245 citations into it; #21,385 of 21,575 by trust here, #7,421 by citations
• Artificial Intelligence — 141 citations into it
• Aerospace Engineering — 41 citations into it
• Natural Language Processing — 30 citations into it
• Multimodal Learning — 28 citations into it
• Reinforcement Learning — 27 citations into it
• 3D Vision & Pose — 24 citations into it
• Control and Systems Engineering — 23 citations into it

Whom Siyuan Qi 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 Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Karen Simonyan
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Siyuan Qi overall

1. Wenguan Wang
2. Masato Tamura
3. Ronghang Hu
4. Zilong Zheng
5. Chenyang Si
6. Aneeshan Sain
7. Yue Liao
8. Francesco Ragusa
9. Hiroki Ohashi
10. Anna Rohrbach

Papers from Siyuan Qi's perspective

Ordered by how strongly the researchers Siyuan Qi 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

• Learning Human-Object Interactions by Graph Parsing Neural Networks (2018) — 587 citations
• Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense (2019) — 131 citations
• Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars (2017) — 86 citations
• Reasoning Visual Dialogs With Structural and Partial Observations (2019) — 121 citations
• Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020) — 152 citations