César Roberto De Souza
Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 493 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 89 citations into it; #16,751 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 45 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Aerospace Engineering — 8 citations into it
- Information Retrieval & Search — 7 citations into it; #807 of 1,022 by trust here, #793 by citations
- Optimization & Training — 7 citations into it
- Media Technology — 6 citations into it
- Model Architectures — 6 citations into it
Whom César Roberto De Souza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Florent Perronnin
- Andrew Zisserman
- Alex Krizhevsky
- Diederik P. Kingma
- Karen Simonyan
- Cordelia Schmid
- David G. Lowe
- Yann LeCun
- Navneet Dalal
Who trusts César Roberto De Souza overall
Papers from César Roberto De Souza's perspective
Ordered by how strongly the researchers César Roberto De Souza 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Learning With Average Precision: Training Image Retrieval With a Listwise Loss (2019) — 436 citations
- R2D2: Reliable and Repeatable Detector and Descriptor (2019) — 477 citations
- Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition (2016) — 44 citations