Oscar Mañas
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 231 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it
- Artificial Intelligence — 52 citations into it
- Multimodal Learning — 26 citations into it
- Representation & Self-Supervised Learning — 23 citations into it
- Large Language Models — 14 citations into it
- Media Technology — 9 citations into it
- Atmospheric Science — 5 citations into it
Whom Oscar Mañas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Diederik P. Kingma
- Alec Radford
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
Who trusts Oscar Mañas overall
- Di Wang
- Sheng Fang
- Keyan Chen
- Soham Deshmukh
- Chao Tao
- Wei Zhang
- Yi Wang
- Favyen Bastani
- Yezhen Cong
- Danfeng Hong
Papers from Oscar Mañas's perspective
Ordered by how strongly the researchers Oscar Mañas 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
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions