Yujun Cai

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 538 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 176 citations into it; #8,733 of 21,575 by trust here, #6,606 by citations
• Artificial Intelligence — 138 citations into it; #15,238 of 35,345 by trust here, #11,490 by citations
• Representation & Self-Supervised Learning — 58 citations into it
• Human-Computer Interaction — 33 citations into it; #1,544 of 2,253 by trust here, #802 by citations
• Control and Systems Engineering — 22 citations into it; #6,203 of 8,257 by trust here, #3,516 by citations
• Optimization & Training — 19 citations into it
• 3D Vision & Pose — 16 citations into it; #570 of 689 by trust here, #548 by citations
• Model Architectures — 16 citations into it

Whom Yujun Cai trusts overall

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

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

Who trusts Yujun Cai overall

1. Han-Jia Ye
2. Linlin Yang
3. Chi Zhang
4. Liuhao Ge
5. Donglai Xiang
6. Munir Oudah
7. Adnane Boukhayma
8. Da-Wei Zhou
9. Guangyuan Shi
10. Long Zhao

Papers from Yujun Cai's perspective

Ordered by how strongly the researchers Yujun Cai 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Weakly-Supervised 3D Hand Pose Estimation from Monocular RGB Images (2018) — 318 citations
• Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks (2019) — 520 citations
• DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers (2020) — 903 citations
• DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning (2020) — 186 citations