Yuliang Liu
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 6 papers; trusts 811 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 189 citations into it; #4,959 of 21,575 by trust here, #7,340 by citations
- Artificial Intelligence — 60 citations into it
- Media Technology — 54 citations into it; #3,044 of 3,621 by trust here, #1,646 by citations
- Multimodal Learning — 30 citations into it
- Natural Language Processing — 30 citations into it
- Evaluation & Benchmarks — 24 citations into it
- Model Architectures — 18 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom Yuliang Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Karen Simonyan
- Shaoqing Ren
- Andrew Zisserman
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
Who trusts Yuliang Liu overall
- Minghui Liao
- Yixing Zhu
- Shangbang Long
- Xiaobing Wang
- Jun Du
- Cong Yao
- Xiang Bai
- Chengquan Zhang
- Wen Qian
- Wenhai Wang
Papers from Yuliang Liu's perspective
Ordered by how strongly the researchers Yuliang Liu 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)
- 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
- On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering (2020) — 128 citations
- Curved scene text detection via transverse and longitudinal sequence connection (2019) — 307 citations
- Detecting Curve Text in the Wild: New Dataset and New Solution (2017) — 295 citations
- ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network (2020) — 402 citations
- Structured Multimodal Attentions for TextVQA (2020) — 69 citations
- Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection (2017) — 322 citations