Gabriele Abbate
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it
- Computational Mechanics — 8 citations into it
Whom Gabriele Abbate trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Gabriele Abbate's perspective
Ordered by how strongly the researchers Gabriele Abbate trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet: A large-scale hierarchical image database
- Microsoft COCO: Common Objects in Context
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)