Yuwen Xiong
Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 7 papers; trusts 930 researchers and is trusted by 964 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 220 citations into it; #1,390 of 21,575 by trust here, #1,303 by citations
- Artificial Intelligence — 100 citations into it
- Model Architectures — 43 citations into it
- Optimization & Training — 23 citations into it
- Natural Language Processing — 8 citations into it
- Signal Processing — 6 citations into it
- Industrial and Manufacturing Engineering — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Yuwen Xiong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Karen Simonyan
- Yann LeCun
- Yoshua Bengio
- Shaoqing Ren
- Christian Szegedy
Who trusts Yuwen Xiong overall
- Liang-Chieh Chen
- Huiyu Wang
- Bowen Cheng
- Xizhou Zhu
- Yukun Zhu
- Xiangtai Li
- Zhiqi Li
- Dahun Kim
- Han Hu
- Rohit Mohan
Papers from Yuwen Xiong's perspective
Ordered by how strongly the researchers Yuwen Xiong trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Deformable Convolutional Networks (2017) — 6,697 citations
- Deep Feature Flow for Video Recognition (2016) — 657 citations
- UPSNet: A Unified Panoptic Segmentation Network (2019) — 465 citations
- PolyTransform: Deep Polygon Transformer for Instance Segmentation (2019) — 205 citations
- Inference in Probabilistic Graphical Models by Graph Neural Networks (2018) — 110 citations
- DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation (2019) — 77 citations
- Reviving and Improving Recurrent Back-Propagation (2018) — 140 citations