Jiarui Xu
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 6 papers; trusts 1,015 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 280 citations into it; #5,243 of 21,575 by trust here, #2,214 by citations
- Artificial Intelligence — 168 citations into it; #16,165 of 35,345 by trust here, #3,146 by citations
- Model Architectures — 58 citations into it; #1,733 of 2,278 by trust here, #969 by citations
- Generative Models — 31 citations into it
- Evaluation & Benchmarks — 25 citations into it
- Optimization & Training — 13 citations into it
- Natural Language Processing — 12 citations into it
- Aerospace Engineering — 10 citations into it
Whom Jiarui Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Karen Simonyan
- Ilya Sutskever
- Yann LeCun
- Shaoqing Ren
Who trusts Jiarui Xu overall
- Xueyan Zou
- Jianwei Yang
- Hao Zhang
- Ze Liu
- Yihong Chen
- Yue Cao
- Qing-Long Zhang
- Xiangtai Li
- Qibin Hou
- Zhongzhan Huang
Papers from Jiarui Xu's perspective
Ordered by how strongly the researchers Jiarui 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- MMDetection: Open MMLab Detection Toolbox and Benchmark (2019) — 3,471 citations
- GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond (2019) — 1,934 citations
- GroupViT: Semantic Segmentation Emerges from Text Supervision (2022) — 748 citations
- Spatial-Temporal Relation Networks for Multi-Object Tracking (2019) — 263 citations
- Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models (2023) — 479 citations
- Deep High Dynamic Range Imaging with Large Foreground Motions (2017) — 301 citations