Yongjun Zhang
Computer Vision and Pattern Recognition · with Guan · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 246 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 57 citations into it
- Media Technology — 53 citations into it; #3,615 of 3,621 by trust here, #1,859 by citations
- Artificial Intelligence — 23 citations into it; #35,322 of 35,345 by trust here, #24,417 by citations
- Atmospheric Science — 23 citations into it; #4,792 of 4,804 by trust here, #2,974 by citations
- Analytical Chemistry — 6 citations into it
- Model Architectures — 6 citations into it
Whom Yongjun Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Yi Yang
- Geoffrey E. Hinton
- Alex Krizhevsky
- Turgay Çelik
- Lorenzo Bruzzone
- Andrew Zisserman
- Yann LeCun
- Ross B. Girshick
- X. Zhang
Who trusts Yongjun Zhang overall
Papers from Yongjun Zhang's perspective
Ordered by how strongly the researchers Yongjun Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images (2020) — 386 citations
- End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++ (2019) — 754 citations
- Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion (2016) — 71 citations