Hao Dong
Computer Vision and Pattern Recognition · with Wang · 2020
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it
Whom Hao Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hao Dong's perspective
Ordered by how strongly the researchers Hao Dong 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)
- Gradient-based learning applied to document recognition
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Fully convolutional networks for semantic segmentation
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory