Qi Ming
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 283 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 131 citations into it; #19,683 of 21,575 by trust here, #12,172 by citations
- Artificial Intelligence — 37 citations into it
- Media Technology — 27 citations into it
- Aerospace Engineering — 20 citations into it
- Model Architectures — 9 citations into it
- Archeology — 6 citations into it
Whom Qi Ming trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Xue Yang
- Tsung-Yi Lin
- Alex Krizhevsky
- Shaoqing Ren
- Geoffrey E. Hinton
- Piotr Doll'ar
- Yann LeCun
- Karen Simonyan
Who trusts Qi Ming overall
Papers from Qi Ming's perspective
Ordered by how strongly the researchers Qi Ming 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss (2021) — 609 citations
- Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence (2021) — 567 citations
- Dynamic Anchor Learning for Arbitrary-Oriented Object Detection (2020) — 343 citations