Ruohui Wang

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 162 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it
• Artificial Intelligence — 41 citations into it

Whom Ruohui Wang trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Geoffrey E. Hinton

Papers from Ruohui Wang's perspective

Ordered by how strongly the researchers Ruohui 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. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Histograms of oriented gradients for human detection
8. Gradient-based learning applied to document recognition
9. Object Detection with Discriminatively Trained Part Based Models
10. Fully convolutional networks for semantic segmentation

Their papers

• DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection (2014) — 165 citations
• T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos (2016) — 526 citations