Sean Ryan Fanello
Computer Vision and Pattern Recognition · 2013–2021
A researcher in the Science corpus: 8 papers; trusts 412 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 397 citations into it; #14,802 of 21,575 by trust here, #4,212 by citations
- 3D Vision & Pose — 54 citations into it
- Artificial Intelligence — 49 citations into it
- Aerospace Engineering — 45 citations into it; #5,313 of 6,421 by trust here, #1,291 by citations
- Media Technology — 28 citations into it
- Model Architectures — 26 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Optimization & Training — 10 citations into it
Whom Sean Ryan Fanello trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuhai Wu
- Kaiming He
- Geoffrey E. Hinton
- Yann LeCun
- Alex Krizhevsky
- David G. Lowe
- Li Fei-Fei
- Yoshua Bengio
- Diederik P. Kingma
- Honglak Lee
Who trusts Sean Ryan Fanello overall
- Tyler L. Hayes
- Jakub Konecný
- Jun Wan
- Christopher Kanan
- Zalán Borsos
- Qianli Liao
- Feng Jiang
- Jun Liu
- Michal Hagara
- Haofei Xu
Papers from Sean Ryan Fanello's perspective
Ordered by how strongly the researchers Sean Ryan Fanello 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- State of the Art on Neural Rendering (2020) — 534 citations
- Fusion4D (2016) — 424 citations
- Advances in Neural Rendering (2021) — 551 citations
- Holoportation: Virtual 3D Teleportation in Real-time (2016) — 743 citations
- StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction (2018) — 397 citations
- HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching (2020) — 299 citations
- One-Shot Learning for Real-Time Action Recognition (2013) — 32 citations
- iCub World: Friendly Robots Help Building Good Vision Data-Sets (2013) — 31 citations