Alessandro Capotondi
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it; #17,559 of 21,575 by trust here, #18,266 by citations
- Artificial Intelligence — 29 citations into it; #28,497 of 35,345 by trust here, #28,481 by citations
- Efficiency & Compression — 23 citations into it; #1,005 of 1,264 by trust here, #1,225 by citations
- Meta & Continual Learning — 10 citations into it
Whom Alessandro Capotondi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Raghuraman Krishnamoorthi
- Liangzhen Lai
- Naveen Suda
- Jungwook Choi
- Andrew G. Howard
- Song Han
- Josh Fromm
- Benoit Jacob
- Yundong Zhang
- Zhen Dong
Who trusts Alessandro Capotondi overall
Papers from Alessandro Capotondi's perspective
Ordered by how strongly the researchers Alessandro Capotondi 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
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)