Chenyou Fan
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 4 papers; trusts 1,066 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 113 citations into it; #6,372 of 21,575 by trust here, #8,122 by citations
- Artificial Intelligence — 76 citations into it; #9,049 of 35,345 by trust here, #13,760 by citations
- Multimodal Learning — 40 citations into it
- Natural Language Processing — 40 citations into it
- Model Architectures — 22 citations into it
- Question Answering & Reading Comprehension — 13 citations into it; #39 of 335 by trust here, #115 by citations
- Evaluation & Benchmarks — 12 citations into it; #1,012 of 3,147 by trust here, #2,903 by citations
- Management Science and Operations Research — 8 citations into it
Whom Chenyou Fan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Kaiming He
- Geoffrey E. Hinton
- Alex Graves
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Ross B. Girshick
- Andrew Zisserman
Who trusts Chenyou Fan overall
- Devshree Patel
- Alex Falcon
- Junbin Xiao
- Thao Minh Le
- Ratnam Parikh
- Oswald Lanz
- Xindi Shang
- Li Xu
- Pin Jiang
- Yesha Shastri
Papers from Chenyou Fan's perspective
Ordered by how strongly the researchers Chenyou Fan 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering (2019) — 319 citations
- Deepdiary: Lifelogging image captioning and summarization (2018) — 157 citations
- Multi-Horizon Time Series Forecasting with Temporal Attention Learning (2019) — 235 citations
- EgoVQA - An Egocentric Video Question Answering Benchmark Dataset (2019) — 79 citations