Chong Shang
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it; #17,956 of 21,575 by trust here, #13,815 by citations
Whom Chong Shang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Piotr Doll'ar (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Bernt Schiele (in Computer Vision and Pattern Recognition)
- Deva Ramanan (in Computer Vision and Pattern Recognition)
- David G. Lowe (in Computer Vision and Pattern Recognition)
Who trusts Chong Shang
- L. Leal-Taix'e (in Computer Vision and Pattern Recognition)
- Guillem Brasó (in Computer Vision and Pattern Recognition)
Papers from Chong Shang's perspective
Ordered by how strongly the researchers Chong Shang trusts endorse each paper. Same corpus, a different order for every researcher.
- Going deeper with convolutions
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Microsoft COCO: Common Objects in Context
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory