Rodrigo Caye Daudt
Computer Vision and Pattern Recognition · 2018–2023
A researcher in the Science corpus: 4 papers; trusts 103 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 54 citations into it; #8,947 of 21,575 by trust here, #10,010 by citations
- Media Technology — 31 citations into it; #375 of 3,621 by trust here, #588 by citations
- Artificial Intelligence — 16 citations into it
- Atmospheric Science — 13 citations into it; #228 of 4,804 by trust here, #1,013 by citations
- Model Architectures — 9 citations into it
- Analytical Chemistry — 7 citations into it
- Ecology — 7 citations into it; #2,555 of 10,717 by trust here, #5,442 by citations
- Environmental Engineering — 5 citations into it
Whom Rodrigo Caye Daudt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lorenzo Bruzzone
- Sergey Zagoruyko
- Olaf Ronneberger
- Kaiming He
- Geoffrey E. Hinton
- Bertrand Le Saux
- Yann LeCun
- Francesca Bovolo
- Jia Liu
- Turgay Çelik
Who trusts Rodrigo Caye Daudt overall
- Yuxing Chen
- Zhenwei Shi
- Cui Zhang
- Sheng Fang
- Lorenzo Bruzzone
- Yuchao Feng
- Xu Peng
- Hongruixuan Chen
- Oscar Mañas
- Daifeng Peng
Papers from Rodrigo Caye Daudt's perspective
Ordered by how strongly the researchers Rodrigo Caye Daudt 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (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)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Fully Convolutional Siamese Networks for Change Detection (2018) — 1,708 citations
- Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation (2023) — 452 citations
- Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks (2018) — 452 citations
- Multitask learning for large-scale semantic change detection (2018) — 409 citations