Jiangping Wang

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #15,523 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 5 citations into it

Whom Jiangping Wang trusts overall

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

1. David G. Lowe
2. Jianchao Yang
3. Massimo Piccardi
4. Thierry Bouwmans
5. Svetlana Lazebnik
6. Ali Borji

Who trusts Jiangping Wang overall

1. Sara Beery
2. Thierry Bouwmans
3. Dan Morris
4. Alexander Gómez-Villa
5. Grant Haskins

Papers from Jiangping Wang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Distinctive Image Features from Scale-Invariant Keypoints
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automated identification of animal species in camera trap images (2013) — 243 citations
• Foreground object detection in highly dynamic scenes using saliency (2014) — 6 citations
• Multimodal Image Registration with Deep Context Reinforcement Learning (2017) — 80 citations