Lingzhi Zhang

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 414 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 101 citations into it
• Human-Computer Interaction — 35 citations into it
• 3D Vision & Pose — 32 citations into it
• Artificial Intelligence — 20 citations into it
• Robotics & Control — 14 citations into it
• Model Architectures — 7 citations into it

Whom Lingzhi Zhang trusts overall

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

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

Papers from Lingzhi Zhang's perspective

Ordered by how strongly the researchers Lingzhi Zhang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications (2022) — 106 citations
• Learning Object Placement by Inpainting for Compositional Data Augmentation (2020) — 79 citations