Jiantao Gao

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Computational Mechanics — 42 citations into it
• Artificial Intelligence — 11 citations into it
• Model Architectures — 6 citations into it

Whom Jiantao Gao trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Jimmy Ba
5. Ross B. Girshick
6. Yann LeCun
7. Yoshua Bengio
8. Diederik P. Kingma
9. Benjamin Graham
10. Karen Simonyan

Who trusts Jiantao Gao overall

1. Yunpeng Zhang

Papers from Jiantao Gao's perspective

Ordered by how strongly the researchers Jiantao Gao 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (2022) — 338 citations
• Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (2020) — 383 citations
• COVID-19 CT Lung and Infection Segmentation Dataset (2020) — 279 citations