Walterio W. Mayol-Cuevas
Computer Vision and Pattern Recognition · 2014–2019
A researcher in the Science corpus: 4 papers; trusts 555 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 108 citations into it; #8,917 of 21,575 by trust here, #9,563 by citations
- Artificial Intelligence — 41 citations into it
- Human-Computer Interaction — 16 citations into it; #1,627 of 2,253 by trust here, #1,813 by citations
- Natural Language Processing — 14 citations into it
- Multimodal Learning — 9 citations into it
- Biomedical Engineering — 7 citations into it
- Aerospace Engineering — 5 citations into it
Whom Walterio W. Mayol-Cuevas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan Laptev
- Alireza Fathi
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Andrew Zisserman
- Yoshua Bengio
- Ross B. Girshick
- David G. Lowe
Who trusts Walterio W. Mayol-Cuevas overall
Papers from Walterio W. Mayol-Cuevas's perspective
Ordered by how strongly the researchers Walterio W. Mayol-Cuevas 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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
- You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video (2014) — 165 citations
- Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video (2017) — 34 citations
- Action Modifiers: Learning From Adverbs in Instructional Videos (2019) — 41 citations
- You-Do, I-Learn: Egocentric unsupervised discovery of objects and their modes of interaction towards video-based guidance (2015) — 57 citations