H. Tejeda
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
Whom H. Tejeda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from H. Tejeda's perspective
Ordered by how strongly the researchers H. Tejeda trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Densely Connected Convolutional Networks
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- Training Products of Experts by Minimizing Contrastive Divergence
- Gradient-based learning applied to document recognition
- Long-term recurrent convolutional networks for visual recognition and description