Eric Cameracci
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 152 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 93 citations into it; #16,681 of 21,575 by trust here, #8,205 by citations
- Artificial Intelligence — 29 citations into it; #34,018 of 35,345 by trust here, #14,438 by citations
- Evaluation & Benchmarks — 26 citations into it
- Aerospace Engineering — 15 citations into it
- Optimization & Training — 6 citations into it
Whom Eric Cameracci trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Shaoqing Ren
- Diederik P. Kingma
- Christian Szegedy
- Yann LeCun
- Yoshua Bengio
- Jia Deng
Who trusts Eric Cameracci overall
Papers from Eric Cameracci's perspective
Ordered by how strongly the researchers Eric Cameracci 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Et al
Their papers
- Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization (2018) — 1,009 citations
- Meta-Sim: Learning to Generate Synthetic Datasets (2019) — 279 citations
- Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data (2018) — 316 citations