Joaquin Zepeda
Computer Vision and Pattern Recognition · 2015–2021
A researcher in the Science corpus: 3 papers; trusts 355 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 — 45 citations into it
- Optimization & Training — 9 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Aerospace Engineering — 7 citations into it
- Media Technology — 6 citations into it
Whom Joaquin Zepeda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Kaiming He
- Andrew Zisserman
- David G. Lowe
- Andrea Vedaldi
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Diederik P. Kingma
- Yann LeCun
Who trusts Joaquin Zepeda overall
Papers from Joaquin Zepeda's perspective
Ordered by how strongly the researchers Joaquin Zepeda 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
- 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 the Structure of Deep Architectures Using L1 Regularization (2015) — 22 citations
- Towards Total Recall in Industrial Anomaly Detection (2021) — 1,710 citations
- Exemplar SVMs as visual feature encoders (2015) — 32 citations