Chris Baker
Computer Vision and Pattern Recognition · 2005–2019
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
- Artificial Intelligence — 14 citations into it
- Automotive Engineering — 10 citations into it
Whom Chris Baker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Chris Baker overall
Papers from Chris Baker's perspective
Ordered by how strongly the researchers Chris Baker trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- ImageNet classification with deep convolutional neural networks
- AUTO-ENCODING VARIATIONAL BAYES
- Conditional Generative Adversarial Nets
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
Their papers
- Passive coherent location radar systems. Part 2: waveform properties (2005) — 354 citations
- Multi-Agent Tensor Fusion for Contextual Trajectory Prediction (2019) — 465 citations