Jimmy S. J. Ren

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 9 papers; trusts 813 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 237 citations into it; #3,604 of 21,575 by trust here, #2,976 by citations
• Media Technology — 79 citations into it; #3,235 of 3,621 by trust here, #648 by citations
• Artificial Intelligence — 50 citations into it
• Evaluation & Benchmarks — 18 citations into it
• Model Architectures — 18 citations into it
• Computational Mechanics — 13 citations into it
• Human-Computer Interaction — 12 citations into it
• Aerospace Engineering — 10 citations into it

Whom Jimmy S. J. Ren trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Karen Simonyan
7. Yoshua Bengio
8. Diederik P. Kingma
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Jimmy S. J. Ren overall

1. Kai Zhang
2. Wangmeng Zuo
3. Alexander von Bernuth
4. Sifei Liu
5. Georg Volk
6. Wenqi Ren
7. Kaihao Zhang
8. Dmitry Ulyanov
9. Jianmin Jiang
10. Satoshi Iizuka

Papers from Jimmy S. J. Ren's perspective

Ordered by how strongly the researchers Jimmy S. J. Ren trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Convolutional Neural Network for Image Deconvolution (2014) — 994 citations
• Accurate Single Stage Detector Using Recurrent Rolling Convolution (2017) — 297 citations
• Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching (2017) — 483 citations
• 3D Human Pose Estimation in the Wild by Adversarial Learning (2018) — 395 citations
• Shepard Convolutional Neural Networks (2015) — 190 citations
• Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks (2018) — 381 citations
• PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration (2020) — 298 citations
• Spatio-Temporal Filter Adaptive Network for Video Deblurring (2019) — 232 citations
• Deep Reasoning with Knowledge Graph for Social Relationship Understanding (2018) — 196 citations