Ren Yang
Computer Vision and Pattern Recognition · with Wang · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 282 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 85 citations into it; #14,631 of 21,575 by trust here, #12,992 by citations
- Media Technology — 23 citations into it
- Artificial Intelligence — 21 citations into it
- Signal Processing — 14 citations into it; #4,908 of 7,572 by trust here, #4,373 by citations
- Optimization & Training — 7 citations into it
Whom Ren Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Chao Dong
- Frank Bossen
- Gregory K. Wallace
- Yann LeCun
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yuanying Dai
- Yoshua Bengio
Who trusts Ren Yang overall
Papers from Ren Yang's perspective
Ordered by how strongly the researchers Ren Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Decoder-side HEVC quality enhancement with scalable convolutional neural network (2017) — 120 citations
- Multi-frame Quality Enhancement for Compressed Video (2018) — 235 citations
- R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network (2021) — 445 citations
- Enhancing Quality for HEVC Compressed Videos (2017) — 211 citations
- Reducing Complexity of HEVC: A Deep Learning Approach (2017) — 303 citations