Xinchen Ye

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Xinchen Ye trusts overall

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

1. Alexandru Cristian Telea
2. Kaiming He
3. Daniel Scharstein
4. Richard Szeliski
5. James Diebel
6. Xiangjun Zhang
7. Shachar Fleishman
8. Kevin Lai
9. Johannes Peter Kopf
10. Qingxiong Yang

Who trusts Xinchen Ye overall

1. Tak-Wai Hui

Papers from Xinchen Ye's perspective

Ordered by how strongly the researchers Xinchen Ye 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model (2014) — 307 citations