Roland Göcke
Computer Vision and Pattern Recognition · 2011–2016
A researcher in the Science corpus: 4 papers; trusts 97 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 40 citations into it; #6,808 of 21,575 by trust here, #6,371 by citations
- Experimental and Cognitive Psychology — 15 citations into it; #2,217 of 9,731 by trust here, #1,942 by citations
- Artificial Intelligence — 13 citations into it; #20,517 of 35,345 by trust here, #23,731 by citations
- Signal Processing — 10 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Natural Language Processing — 6 citations into it
- Multimodal Learning — 5 citations into it
Whom Roland Göcke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Navneet Dalal
- Paul A. Viola
- Florian Eyben
- Andrew Zisserman
- Björn Schuller
- Anna Bosch
- Xuehan Xiong
- Ivan Laptev
- Geoffrey E. Hinton
Who trusts Roland Göcke overall
- Shan Li
- Hongwei Ng
- Amir Zadeh
- Ali Mollahosseini
- Pablo V. A. Barros
- Gil Levi
- Abhinav Dhall
- Weihong Deng
- Jiyoung Lee
- Yong Li
Papers from Roland Göcke's perspective
Ordered by how strongly the researchers Roland Göcke trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Histograms of oriented gradients for human detection
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012) — 636 citations
- Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015 (2015) — 336 citations
- Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark (2011) — 524 citations
- Extending Long Short-Term Memory for Multi-View Structured Learning (2016) — 128 citations