Tong Zhang

Computer Vision and Pattern Recognition · with Dai · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 169 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 72 citations into it; #18,054 of 21,575 by trust here, #14,151 by citations

Whom Tong Zhang trusts overall

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

1. Deng-Ping Fan
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Ming-Ming Cheng
6. Alex Krizhevsky
7. Ross B. Girshick
8. Andrew Zisserman
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Tong Zhang overall

1. Deng-Ping Fan

Papers from Tong Zhang's perspective

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

Their papers

• Uncertainty-aware Joint Salient Object and Camouflaged Object Detection (2021) — 300 citations
• UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders (2020) — 377 citations