Jiawen Chen
Computer Vision and Pattern Recognition · ACM Transactions on Graphics · 2007–2018
A researcher in the Science corpus: 5 papers; trusts 279 researchers and is trusted by 169 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 101 citations into it; #2,785 of 21,575 by trust here, #4,807 by citations
- Media Technology — 31 citations into it; #2,577 of 3,621 by trust here, #1,017 by citations
- Artificial Intelligence — 12 citations into it
- Computer Graphics and Computer-Aided Design — 7 citations into it
- Biomedical Engineering — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Model Architectures — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Jiawen Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Sylvain Paris
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jimmy Ba
- Sergey Ioffe
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
Who trusts Jiawen Chen overall
- Jonathan T. Barron
- Jitendra Malik
- Sylvain Paris
- Weiyue Wang
- Jiangyu Liu
- Qingxiong Yang
- Levent Karacan
- Li Xu
- Qifeng Chen
- Frédo Durand
Papers from Jiawen Chen's perspective
Ordered by how strongly the researchers Jiawen Chen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Real-time edge-aware image processing with the bilateral grid (2007) — 631 citations
- Deep bilateral learning for real-time image enhancement (2017) — 838 citations
- Burst Denoising with Kernel Prediction Networks (2017) — 434 citations
- Burst photography for high dynamic range and low-light imaging on mobile cameras (2016) — 557 citations
- Unprocessing Images for Learned Raw Denoising (2018) — 540 citations