Fenglin Liu
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 5 papers; trusts 212 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 84 citations into it
- Artificial Intelligence — 77 citations into it
- Natural Language Processing — 44 citations into it
- Multimodal Learning — 40 citations into it
- Evaluation & Benchmarks — 26 citations into it
- Model Architectures — 24 citations into it
- Optimization & Training — 19 citations into it
Whom Fenglin Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Christian Szegedy
- Yoshua Bengio
- Jimmy Ba
- Diederik P. Kingma
- X. Zhang
- Ilya Sutskever
- Ashish Vaswani
Who trusts Fenglin Liu overall
Papers from Fenglin Liu's perspective
Ordered by how strongly the researchers Fenglin 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations (2019) — 96 citations
- Genomic basis for RNA alterations in cancer (2020) — 354 citations
- Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation (2021) — 393 citations
- Rethinking Skip Connection with Layer Normalization (2020) — 85 citations
- Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning (2019) — 5 citations