Wentao Wang
Computer Vision and Pattern Recognition · International Conference on Machine Learning · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 350 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 134 citations into it; #16,710 of 21,575 by trust here, #13,269 by citations
- Artificial Intelligence — 36 citations into it
- Media Technology — 29 citations into it
- Aerospace Engineering — 21 citations into it
- Model Architectures — 15 citations into it
- Archeology — 6 citations into it
- Industrial and Manufacturing Engineering — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Wentao Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xue Yang
- Ross B. Girshick
- Kaiming He
- Tsung-Yi Lin
- Shaoqing Ren
- Alex Krizhevsky
- Geoffrey E. Hinton
- Piotr Doll'ar
- X. Zhang
- Karen Simonyan
Who trusts Wentao Wang overall
Papers from Wentao Wang's perspective
Ordered by how strongly the researchers Wentao Wang 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Dense Label Encoding for Boundary Discontinuity Free Rotation Detection (2020) — 298 citations