Tyler Lixuan Zhu

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 515 researchers and is trusted by 163 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 181 citations into it; #2,841 of 21,575 by trust here, #2,263 by citations
• Artificial Intelligence — 83 citations into it; #16,675 of 35,345 by trust here, #5,084 by citations
• Representation & Self-Supervised Learning — 26 citations into it
• Human-Computer Interaction — 22 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 9 citations into it

Whom Tyler Lixuan Zhu trusts overall

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

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

Who trusts Tyler Lixuan Zhu overall

1. Xingyi Zhou
2. Bin Xiao
3. Han-Jia Ye
4. Carl Doersch
5. Ke Sun
6. Jingdong Wang
7. Bowen Cheng
8. Zhe Cao
9. Ke Li
10. Rohit Girdhar

Papers from Tyler Lixuan Zhu's perspective

Ordered by how strongly the researchers Tyler Lixuan Zhu 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization (2020) — 2,442 citations
• Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples (2019) — 701 citations
• Towards Accurate Multi-person Pose Estimation in the Wild (2017) — 872 citations
• PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model (2018) — 601 citations
• BlazePose: On-device Real-time Body Pose tracking (2020) — 861 citations