Jiaxing Zhao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 3 papers; trusts 464 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 144 citations into it; #9,717 of 21,575 by trust here, #7,657 by citations
• Cognitive Neuroscience — 34 citations into it; #4,318 of 10,852 by trust here, #3,702 by citations
• Artificial Intelligence — 23 citations into it
• Sensory Systems — 18 citations into it
• Media Technology — 10 citations into it
• Model Architectures — 9 citations into it
• Human-Computer Interaction — 8 citations into it; #737 of 2,253 by trust here, #369 by citations
• Aerospace Engineering — 7 citations into it

Whom Jiaxing Zhao trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Guanbin Li
4. Ming-Ming Cheng
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Andrew Zisserman
9. Yann LeCun
10. Yoshua Bengio

Who trusts Jiaxing Zhao overall

1. Deng-Ping Fan
2. Ge-Peng Ji
3. Ming-Ming Cheng
4. Ling Shao
5. Keren Fu
6. Nian Liu
7. Hanting Chen
8. Xiaoqi Zhao
9. Jing Zhang
10. Tao Zhou

Papers from Jiaxing Zhao's perspective

Ordered by how strongly the researchers Jiaxing Zhao 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

• EGNet: Edge Guidance Network for Salient Object Detection (2019) — 1,078 citations
• Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection (2019) — 389 citations
• Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks (2019) — 640 citations