Jian Shao
Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 296 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 76 citations into it; #16,486 of 21,575 by trust here, #4,152 by citations
- Artificial Intelligence — 50 citations into it; #35,106 of 35,345 by trust here, #7,241 by citations
- Natural Language Processing — 17 citations into it
- Multimodal Learning — 14 citations into it
- Model Architectures — 11 citations into it; #2,258 of 2,278 by trust here, #674 by citations
Whom Jian Shao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Christian Szegedy
- Ross B. Girshick
- Ilya Sutskever
Who trusts Jian Shao overall
Papers from Jian Shao's perspective
Ordered by how strongly the researchers Jian Shao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction (2019) — 481 citations
- SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning (2016) — 1,836 citations