Junyu Han

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 7 papers; trusts 686 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 265 citations into it
• Artificial Intelligence — 115 citations into it
• Model Architectures — 54 citations into it
• Media Technology — 52 citations into it
• Natural Language Processing — 33 citations into it
• Optimization & Training — 16 citations into it
• Representation & Self-Supervised Learning — 14 citations into it

Whom Junyu Han trusts overall

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

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

Papers from Junyu Han's perspective

Ordered by how strongly the researchers Junyu Han trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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

• ACFNet: Attentional Class Feature Network for Semantic Segmentation (2019) — 301 citations
• Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment (2022) — 254 citations
• Towards Accurate Scene Text Recognition With Semantic Reasoning Networks (2020) — 344 citations
• AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) — 43 citations
• MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining (2022) — 51 citations
• TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network (2018) — 66 citations
• Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes (2019) — 256 citations