Tie Liu
Computer Vision and Pattern Recognition · with Yuan · 2007–2020
A researcher in the Science corpus: 3 papers; trusts 77 researchers and is trusted by 188 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 46 citations into it; #2,667 of 21,575 by trust here, #3,313 by citations
- Cognitive Neuroscience — 9 citations into it; #4,735 of 10,852 by trust here, #5,162 by citations
- Artificial Intelligence — 7 citations into it
Whom Tie Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Laurent Itti
- Christof Koch
- Anne Treisman
- Pierre Baldi
- Neil D. B. Bruce
- Yufei Ma
- Kaiming He
- Jonathan Harel
- Vladimir Kolmogorov
- Geoffrey E. Hinton
Who trusts Tie Liu overall
- Ming-Ming Cheng
- Junwei Han
- Wenguan Wang
- Guanbin Li
- Xi Li
- Kristen Grauman
- Kaiming He
- Huchuan Lu
- Houwen Peng
- Ali Borji
Papers from Tie Liu's perspective
Ordered by how strongly the researchers Tie 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Learning to Detect A Salient Object (2007) — 2,609 citations
- End-to-end Lane Shape Prediction with Transformers (2020) — 353 citations
- Automatic salient object segmentation based on context and shape prior (2011) — 496 citations