Ioannis Pitas
Computer Vision and Pattern Recognition · 2000–2014
A researcher in the Science corpus: 10 papers; trusts 287 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 83 citations into it; #8,164 of 21,575 by trust here, #11,286 by citations
- Artificial Intelligence — 31 citations into it; #16,659 of 35,345 by trust here, #28,481 by citations
- Signal Processing — 14 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Biomedical Engineering — 8 citations into it; #6,924 of 10,734 by trust here, #10,484 by citations
- Experimental and Cognitive Psychology — 8 citations into it; #4,274 of 9,731 by trust here, #4,444 by citations
- Cognitive Neuroscience — 5 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Ioannis Pitas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Heng Wang
- Yuhai Wu
- Ivan Laptev
- G. Huang
- Maja Pantic
- Takeo Kanade
- Cordelia Schmid
- Alan Hanjalic
- Geoffrey E. Hinton
- Paul J. Werbos
Who trusts Ioannis Pitas overall
- Radhakrishna Achanta
- Dolev Pomeranz
- Yongming Rao
- Sabine Süsstrunk
- Michal Shemesh
- Alexandros Iosifidis
- Wenliang Zhao
- Hongxing Liu
- Ohad Ben-Shahar
- Vinay Bettadapura
Papers from Ioannis Pitas's perspective
Ordered by how strongly the researchers Ioannis Pitas 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification (2006) — 354 citations
- Discriminant Bag of Words based representation for human action recognition (2014) — 80 citations
- Minimum Variance Extreme Learning Machine for human action recognition (2014) — 34 citations
- View-Invariant Action Recognition Based on Artificial Neural Networks (2012) — 143 citations
- Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines (2007) — 711 citations
- Information theory-based shot cut/fade detection and video summarization (2006) — 333 citations
- The eNTERFACE'05 Audio-Visual Emotion Database (2006) — 405 citations
- Video shot detection and condensed representation. a review (2006) — 295 citations
- The eNTERFACE’05 Audio-Visual Emotion Database (2006) — 326 citations
- Digital Image Processing Algorithms and Applications (2000) — 603 citations