Jing Zhang

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 501 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 152 citations into it; #14,281 of 21,575 by trust here, #11,286 by citations
• Cognitive Neuroscience — 33 citations into it; #8,048 of 10,852 by trust here, #5,844 by citations
• Artificial Intelligence — 31 citations into it
• Sensory Systems — 14 citations into it
• Media Technology — 11 citations into it
• Model Architectures — 5 citations into it

Whom Jing Zhang trusts overall

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

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

Who trusts Jing Zhang overall

1. Deng-Ping Fan
2. Ge-Peng Ji
3. Tao Zhou
4. Ming-Ming Cheng
5. Ling Shao
6. Youwei Pang
7. Aixuan Li
8. Yunqiu Lyu
9. Jianbing Shen

Papers from Jing Zhang's perspective

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

Their papers

• Uncertainty-aware Joint Salient Object and Camouflaged Object Detection (2021) — 300 citations
• Simultaneously Localize, Segment and Rank the Camouflaged Objects (2021) — 555 citations
• UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders (2020) — 377 citations
• Weakly-Supervised Salient Object Detection via Scribble Annotations (2020) — 314 citations