Haiyu Zhao

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 10 papers; trusts 788 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 237 citations into it; #15,924 of 21,575 by trust here, #3,827 by citations
• Artificial Intelligence — 127 citations into it
• Model Architectures — 39 citations into it; #2,058 of 2,278 by trust here, #1,285 by citations
• Biomedical Engineering — 30 citations into it
• Natural Language Processing — 21 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Optimization & Training — 20 citations into it
• Evaluation & Benchmarks — 13 citations into it

Whom Haiyu Zhao trusts overall

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

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

Who trusts Haiyu Zhao overall

1. Guanshuo Wang
2. Hamed Alqahtani
3. Yixiao Ge
4. Jianlou Si
5. Xuan Zhang
6. Alexander Hermans
7. Mang Ye
8. Yumin Suh
9. Nan Pu
10. Xin Jin

Papers from Haiyu Zhao's perspective

Ordered by how strongly the researchers Haiyu Zhao 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. Long Short-Term Memory
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Efficient Attention: Attention with Linear Complexities (2018) — 772 citations
• Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion (2017) — 870 citations
• HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis (2017) — 562 citations
• Balanced Activation for Long-tailed Visual Recognition (2020)
• FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification (2018) — 363 citations
• Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction (2020) — 635 citations
• Delving Deep into the Generalization of Vision Transformers under Distribution Shifts (2021) — 138 citations
• Unsupervised 3D Shape Completion through GAN Inversion (2021) — 147 citations
• Balanced Meta-Softmax for Long-Tailed Visual Recognition (2020) — 801 citations
• Factorized Attention: Self-Attention with Linear Complexities (2018) — 13 citations