Zhile Ren

Computer Vision and Pattern Recognition · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 588 researchers and is trusted by 278 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it; #2,364 of 21,575 by trust here, #8,612 by citations
• Aerospace Engineering — 18 citations into it; #1,880 of 6,421 by trust here, #4,066 by citations
• Artificial Intelligence — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Media Technology — 7 citations into it
• Geology — 6 citations into it; #257 of 687 by trust here, #499 by citations
• 3D Vision & Pose — 5 citations into it
• Computational Mechanics — 5 citations into it

Whom Zhile Ren trusts overall

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

1. Shuran Song
2. Derek Hoiem
3. Jitendra Malik
4. Jianxiong Xiao
5. Alexei A. Efros
6. Antonio Torralba
7. Pedro F. Felzenszwalb
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Navneet Dalal

Who trusts Zhile Ren overall

1. Charles Ruizhongtai Qi
2. Jordi Pont-Tuset
3. Shu Kong
4. David J. Weiss
5. Danfei Xu
6. Pablo Arbeláez
7. Nathan Silberman
8. Chaowei Fang
9. Ferran Marqués
10. Dan Xu

Papers from Zhile Ren's perspective

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

Their papers

• Transient attributes for high-level understanding and editing of outdoor scenes (2014) — 208 citations
• Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients (2016) — 153 citations
• Image Segmentation by Cascaded Region Agglomeration (2013) — 123 citations