Junyu Gao
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 309 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 56 citations into it; #14,409 of 21,575 by trust here, #15,529 by citations
- Artificial Intelligence — 35 citations into it; #23,371 of 35,345 by trust here, #23,731 by citations
- Evaluation & Benchmarks — 11 citations into it
- Safety, Risk, Reliability and Quality — 10 citations into it
- Model Architectures — 6 citations into it
- Ocean Engineering — 5 citations into it
Whom Junyu Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Karen Simonyan
- Diederik P. Kingma
- Ross B. Girshick
- Geoffrey E. Hinton
- Andrew Zisserman
- Alex Krizhevsky
- Shaoqing Ren
- Haroon Idrees
- Yann LeCun
Who trusts Junyu Gao overall
Papers from Junyu Gao's perspective
Ordered by how strongly the researchers Junyu Gao 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)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization (2020) — 518 citations
- Learning From Synthetic Data for Crowd Counting in the Wild (2019) — 601 citations