Tingxian Wang

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 96 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it; #6,240 of 21,575 by trust here, #9,435 by citations
• Media Technology — 13 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it; #339 of 1,584 by trust here, #605 by citations
• Optimization & Training — 5 citations into it

Whom Tingxian Wang trusts overall

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

1. Sven Wanner
2. Yuri Boykov
3. Vladimir Kolmogorov
4. Kaiming He
5. Brian Curless
6. Bastian Goldlücke
7. Yoshua Bengio
8. Ramin Zabih
9. Geoffrey E. Hinton
10. Diederik P. Kingma

Who trusts Tingxian Wang overall

1. Eric Penner
2. Simon Niklaus
3. Zhen Cheng
4. Michael Broxton
5. Tae-Hyun Oh
6. Nima Khademi Kalantari
7. Li Zhang
8. John Flynn
9. Pratul P. Srinivasan
10. Richard Tucker

Papers from Tingxian Wang's perspective

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

Their papers

• Learning-based view synthesis for light field cameras (2016) — 754 citations
• Light field video capture using a learning-based hybrid imaging system (2017) — 134 citations
• Occlusion-Aware Depth Estimation Using Light-Field Cameras (2015) — 348 citations