Xue Yang
Computer Vision and Pattern Recognition · AAAI Conference on Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 10 papers; trusts 1,129 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 369 citations into it; #3,821 of 21,575 by trust here, #4,088 by citations
- Artificial Intelligence — 113 citations into it
- Media Technology — 95 citations into it
- Model Architectures — 45 citations into it
- Aerospace Engineering — 37 citations into it; #994 of 6,421 by trust here, #1,499 by citations
- Evaluation & Benchmarks — 23 citations into it
- Industrial and Manufacturing Engineering — 15 citations into it
- Human-Computer Interaction — 13 citations into it
Whom Xue Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Tsung-Yi Lin
- Shaoqing Ren
- Alex Krizhevsky
- Geoffrey E. Hinton
- X. Zhang
- Piotr Doll'ar
- Jifeng Dai
- Ilya Sutskever
Who trusts Xue Yang overall
- Junchi Yan
- Wentong Li
- Yue Zhou
- Xinhao Cai
- Qi Ming
- Zhaohui Zheng
- Jiaming Han
- Wentao Wang
- Jian Ding
- Liping Hou
Papers from Xue Yang's perspective
Ordered by how strongly the researchers Xue Yang 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects (2018) — 887 citations
- R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object (2019) — 1,161 citations
- Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss (2021) — 609 citations
- MMRotate: A Rotated Object Detection Benchmark using PyTorch (2022) — 454 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
- SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing (2020) — 354 citations
- Arbitrary-Oriented Object Detection with Circular Smooth Label (2020) — 590 citations
- Learning Modulated Loss for Rotated Object Detection (2019) — 399 citations
- Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks (2018) — 505 citations