Jun Wang
Computer Vision and Pattern Recognition · with Dong · 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 Jun Wang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Ali Farhadi (in Computer Vision and Pattern Recognition)
- Piotr Doll'ar (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Joseph Redmon (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Trevor Darrell (in Computer Vision and Pattern Recognition)
Papers from Jun Wang's perspective
Ordered by how strongly the researchers Jun Wang 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory