Yongbing Zhang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 427 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 101 citations into it; #10,495 of 21,575 by trust here, #6,671 by citations
• Media Technology — 39 citations into it; #1,500 of 3,621 by trust here, #612 by citations
• Artificial Intelligence — 35 citations into it
• Model Architectures — 16 citations into it
• Generative Models — 13 citations into it
• Efficiency & Compression — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Yongbing Zhang trusts overall

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

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

Who trusts Yongbing Zhang overall

1. Syed Waqas Zamir
2. Chao Dong
3. Jinjin Gu

Papers from Yongbing Zhang's perspective

Ordered by how strongly the researchers Yongbing 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. Attention is All you Need (Neural Information Processing Systems)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Second-Order Attention Network for Single Image Super-Resolution (2019) — 1,809 citations
• Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks (2018) — 511 citations
• TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication (2021) — 1,314 citations
• STAT: Spatial-Temporal Attention Mechanism for Video Captioning (2020) — 376 citations