Junjun Jiang
Computer Vision and Pattern Recognition · 2015–2022
A researcher in the Science corpus: 13 papers; trusts 1,191 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 477 citations into it; #3,829 of 21,575 by trust here, #3,302 by citations
- Media Technology — 204 citations into it; #232 of 3,621 by trust here, #201 by citations
- Aerospace Engineering — 134 citations into it
- Artificial Intelligence — 79 citations into it
- Generative Models — 43 citations into it
- Computational Mechanics — 35 citations into it
- Model Architectures — 35 citations into it
- Biomedical Engineering — 23 citations into it
Whom Junjun Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- David G. Lowe
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yu Liu
- Diederik P. Kingma
- Andrew Zisserman
- Karen Simonyan
- Yann LeCun
- Yoshua Bengio
Who trusts Junjun Jiang overall
- Jiayi Ma
- Hui Li
- Linfeng Tang
- Zixiang Zhao
- Hao Zhang
- Wei Tang
- Xingchen Zhang
- Xue Wang
- Han Xu
- Jinyuan Liu
Papers from Junjun Jiang's perspective
Ordered by how strongly the researchers Junjun Jiang 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation (2022) — 295 citations
- Multi-Scale Progressive Fusion Network for Single Image Deraining (2020) — 826 citations
- Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations (2019) — 323 citations
- Infrared and visible image fusion via detail preserving adversarial learning (2020) — 420 citations
- DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion (2020) — 1,204 citations
- FusionDN: A Unified Densely Connected Network for Image Fusion (2020) — 601 citations
- Image fusion meets deep learning: A survey and perspective (2021) — 753 citations
- Image Matching from Handcrafted to Deep Features: A Survey (2020) — 932 citations
- U2Fusion: A Unified Unsupervised Image Fusion Network (2020) — 1,963 citations
- Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion (2020) — 446 citations
- FusionGAN: A generative adversarial network for infrared and visible image fusion (2019) — 2,045 citations
- Edge-Enhanced GAN for Remote Sensing Image Superresolution (2019) — 485 citations
- Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming (2015) — 457 citations