Chen Chen

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 10 papers; trusts 877 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 348 citations into it; #10,753 of 21,575 by trust here, #6,089 by citations
• Artificial Intelligence — 119 citations into it
• Media Technology — 70 citations into it; #1,775 of 3,621 by trust here, #872 by citations
• Human-Computer Interaction — 40 citations into it
• Model Architectures — 33 citations into it
• Biomedical Engineering — 26 citations into it
• Computational Mechanics — 23 citations into it
• Control and Systems Engineering — 20 citations into it

Whom Chen Chen trusts overall

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

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

Who trusts Chen Chen overall

1. Jiayi Ma
2. Gong Cheng
3. Hao Zhang
4. Grant J. Scott
5. Hang Wu
6. Junwei Han
7. Jinwoo Choi
8. Yang Li
9. Hui Li
10. Ali Athar

Papers from Chen Chen's perspective

Ordered by how strongly the researchers Chen Chen 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos (2017) — 362 citations
• Multi-Scale Progressive Fusion Network for Single Image Deraining (2020) — 826 citations
• 3D Human Pose Estimation with Spatial and Temporal Transformers (2021) — 692 citations
• Infrared and visible image fusion via detail preserving adversarial learning (2020) — 420 citations
• Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning (2020) — 61 citations
• On the Transformer Growth for Progressive BERT Training (2020) — 61 citations
• VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval (2020) — 315 citations
• Deep Learning-based Human Pose Estimation: A Survey (2020) — 975 citations
• Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion (2020) — 446 citations
• Land-use scene classification using multi-scale completed local binary patterns (2015)