Tiantian Wang

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 535 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 107 citations into it; #4,446 of 21,575 by trust here, #5,890 by citations
• Sensory Systems — 23 citations into it
• Cognitive Neuroscience — 20 citations into it; #8,649 of 10,852 by trust here, #5,528 by citations
• Artificial Intelligence — 17 citations into it
• Model Architectures — 5 citations into it

Whom Tiantian Wang trusts overall

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

1. Huchuan Lu
2. Kaiming He
3. Guanbin Li
4. Karen Simonyan
5. Lijun Wang
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Ross B. Girshick
9. Ming-Ming Cheng
10. Andrew Zisserman

Who trusts Tiantian Wang overall

1. Zhe Wu
2. Junhang Wei
3. Youwei Pang
4. Xiaoqi Zhao
5. Wenguan Wang
6. Jiangjiang Liu
7. Deng-Ping Fan
8. Qingming Huang
9. Nian Liu
10. Li Su

Papers from Tiantian Wang's perspective

Ordered by how strongly the researchers Tiantian Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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

• Progressive Attention Guided Recurrent Network for Salient Object Detection (2018) — 582 citations
• Detect Globally, Refine Locally: A Novel Approach to Saliency Detection (2018) — 391 citations
• A Stagewise Refinement Model for Detecting Salient Objects in Images (2017) — 416 citations