Hatice Gunes
Experimental and Cognitive Psychology · 2007–2021
A researcher in the Science corpus: 9 papers; trusts 170 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 92 citations into it; #659 of 9,731 by trust here, #1,288 by citations
- Computer Vision and Pattern Recognition — 88 citations into it; #7,309 of 21,575 by trust here, #7,938 by citations
- Artificial Intelligence — 67 citations into it
- Cognitive Neuroscience — 60 citations into it; #4,738 of 10,852 by trust here, #7,860 by citations
- Social Psychology — 50 citations into it; #2,174 of 15,694 by trust here, #5,090 by citations
- Signal Processing — 29 citations into it
- Meta & Continual Learning — 14 citations into it
- Human-Computer Interaction — 11 citations into it; #1,389 of 2,253 by trust here, #1,127 by citations
Whom Hatice Gunes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Björn Schuller
- Maja Pantic
- Jonghwa Kim
- Klaus R. Scherer
- R. Cowie
- Michel François Valstar
- Michael Grimm
- Michael Kipp
- Radford M. Neal
- Ronald Poppe
Who trusts Hatice Gunes overall
- Björn Schuller
- Andrea Kleinsmith
- Ligang Zhang
- Mohammad Soleymani
- Maja Pantic
- Mihalis A. Nicolaou
- Zeynab Mohammadi
- Fabien Ringeval
- Stamos Katsigiannis
- Nadia Bianchi-Berthouze
Papers from Hatice Gunes's perspective
Ordered by how strongly the researchers Hatice Gunes 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2015) — 661 citations
- Emotion representation, analysis and synthesis in continuous space: A survey (2011) — 326 citations
- Categorical and dimensional affect analysis in continuous input: Current trends and future directions (2013) — 385 citations
- Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space (2011) — 505 citations
- Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI) (2021) — 30 citations
- Continual Learning for Affective Robotics: Why, What and How? (2020) — 56 citations
- Measuring Affect for the Study and Enhancement of Co-present Creative Collaboration (2013)
- Automatic, Dimensional and Continuous Emotion Recognition (2010) — 460 citations
- Bi-modal emotion recognition from expressive face and body gestures (2007) — 391 citations