Tai-Xiang Jiang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Media Technology — 18 citations into it; #2,819 of 3,621 by trust here, #3,595 by citations
• Model Architectures — 5 citations into it

Whom Tai-Xiang Jiang trusts overall

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

1. Diederik P. Kingma
2. Andrew L. Maas
3. Karen Simonyan
4. Bruno Aiazzi
5. Sergey Ioffe
6. José M. Bioucas-Dias
7. Luciano Alparone
8. Christian Szegedy
9. Andrew Zisserman
10. Geoffrey E. Hinton

Who trusts Tai-Xiang Jiang overall

1. Valerio Marsocci

Papers from Tai-Xiang Jiang's perspective

Ordered by how strongly the researchers Tai-Xiang Jiang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution (2023) — 9 citations