Ioannis Patras
Computer Vision and Pattern Recognition · 2006–2021
A researcher in the Science corpus: 7 papers; trusts 522 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 88 citations into it; #5,635 of 21,575 by trust here, #10,500 by citations
- Artificial Intelligence — 38 citations into it; #25,291 of 35,345 by trust here, #32,362 by citations
- Experimental and Cognitive Psychology — 30 citations into it; #1,369 of 9,731 by trust here, #1,264 by citations
- Signal Processing — 25 citations into it
- Cognitive Neuroscience — 22 citations into it; #6,305 of 10,852 by trust here, #2,700 by citations
- Model Architectures — 14 citations into it
- Social Psychology — 10 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
Whom Ioannis Patras trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maja Pantic
- Deva Ramanan
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
Who trusts Ioannis Patras overall
- Maja Pantic
- S. Happy
- Mei Wang
- Yi Zhu
- Caifeng Shan
- Eva G. Krumhuber
- Alessandro Vinciarelli
- Simon Meister
- Junhwa Hur
- Iacopo Masi
Papers from Ioannis Patras's perspective
Ordered by how strongly the researchers Ioannis Patras 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Unsupervised convolutional neural networks for motion estimation (2016) — 108 citations
- Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences (2006) — 642 citations
- Video Summarization Using Deep Neural Networks: A Survey (2021) — 305 citations
- DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2012) — 4,571 citations
- AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2017) — 608 citations
- Mirror, mirror on the wall, tell me, is the error small? (2015) — 51 citations
- DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses (2015) — 333 citations