Martin A. Giese
Cognitive Neuroscience · 2003–2015
A researcher in the Science corpus: 4 papers; trusts 77 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 79 citations into it; #876 of 10,852 by trust here, #3,368 by citations
- Social Psychology — 39 citations into it; #1,166 of 15,694 by trust here, #4,240 by citations
- Computer Vision and Pattern Recognition — 23 citations into it
- Artificial Intelligence — 16 citations into it; #5,594 of 35,345 by trust here, #13,353 by citations
- Neuroscience — 11 citations into it; #87 of 487 by trust here, #237 by citations
- Developmental and Educational Psychology — 9 citations into it
- Biomedical Engineering — 8 citations into it
- Experimental and Cognitive Psychology — 7 citations into it
Whom Martin A. Giese trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karl J. Friston
- Giacomo Rizzolatti
- Matthew D. Zeiler
- Erhan Öztop
- Tomaso A. Poggio
- Geoffrey E. Hinton
- Michael A. Arbib
- Andrej Karpathy
- Yuichi Yamashita
- Masahiko Haruno
Who trusts Martin A. Giese overall
- German Ignacio Parisi
- Stefan Wermter
- Cornelius Weber
- Luiza Mici
- Hueihan Jhuang
- Thomas Serre
- Konrad Schindler
- Randolph Blake
- Andrea Kleinsmith
- Jun Tani
Papers from Martin A. Giese's perspective
Ordered by how strongly the researchers Martin A. Giese trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Cognitive neuroscience: Neural mechanisms for the recognition of biological movements (2003) — 978 citations
- Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions (2013) — 48 citations
- Neural and Computational Mechanisms of Action Processing: Interaction between Visual and Motor Representations. (2015) — 81 citations
- Segmenting sign language into motor primitives with Bayesian binning (2013) — 18 citations