Yong Xu
Computer Vision and Pattern Recognition · Neural Information Processing Systems · 2009–2021
A researcher in the Science corpus: 6 papers; trusts 571 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 285 citations into it; #5,592 of 21,575 by trust here, #5,205 by citations
- Artificial Intelligence — 44 citations into it
- Media Technology — 34 citations into it
- Model Architectures — 23 citations into it
- Aerospace Engineering — 16 citations into it
- Computational Mechanics — 9 citations into it
- Signal Processing — 8 citations into it
- Computer Graphics and Computer-Aided Design — 7 citations into it
Whom Yong Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Andrew Zisserman
- Manik Varma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Cordelia Schmid
- Alexei A. Efros
- Jitendra Malik
- Ross B. Girshick
Who trusts Yong Xu overall
- Radu Timofte
- Xueyang Fu
- Mircea Cimpoi
- Li Liu
- Luc Van Gool
- Ruoteng Li
- Wenhan Yang
- Vishal M. Patel
- He Zhang
- Rajeev Yasarla
Papers from Yong Xu's perspective
Ordered by how strongly the researchers Yong Xu 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking (2018) — 1,585 citations
- LaSOT: A High-quality Large-scale Single Object Tracking Benchmark (2020) — 396 citations
- Viewpoint Invariant Texture Description Using Fractal Analysis (2009) — 318 citations
- Removing Rain from a Single Image via Discriminative Sparse Coding (2015) — 804 citations
- Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study (2019) — 337 citations
- SwinTrack: A Simple and Strong Baseline for Transformer Tracking (2021) — 532 citations