Dimitris Samaras
Computer Vision and Pattern Recognition · 2009–2022
A researcher in the Science corpus: 15 papers; trusts 744 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 254 citations into it; #7,203 of 21,575 by trust here, #5,013 by citations
- Artificial Intelligence — 96 citations into it
- Cognitive Neuroscience — 43 citations into it
- Generative Models — 36 citations into it
- Signal Processing — 26 citations into it
- Computational Mechanics — 24 citations into it
- Model Architectures — 23 citations into it
- Statistics and Probability — 18 citations into it
Whom Dimitris Samaras trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- David G. Lowe
- Alex Krizhevsky
- Robert Tibshirani
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
- Radford M. Neal
Who trusts Dimitris Samaras overall
- Yu Zhang
- Diane Oyen
- Gaël Varoquaux
- Qiang Yang
- Jun Liu
- Heather D. Couture
- Osman Semih Kayhan
- Wentao Zhu
- Qiuhong Ke
- Chetan L. Srinidhi
Papers from Dimitris Samaras's perspective
Ordered by how strongly the researchers Dimitris Samaras 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Neural Face Editing with Intrinsic Image Disentangling (2017) — 295 citations
- Studying Relationships between Human Gaze, Description, and Computer Vision (2013) — 88 citations
- Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance (2018) — 211 citations
- Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion (2019) — 43 citations
- Two-person interaction detection using body-pose features and multiple instance learning (2012) — 540 citations
- Diffusion models as plug-and-play priors (2022) — 309 citations
- Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images (2018) — 943 citations
- Topology-Preserving Deep Image Segmentation (2019) — 398 citations
- Distribution Matching for Crowd Counting (2020) — 417 citations
- Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images (2018) — 48 citations
- Deriving reproducible biomarkers from multi‐site resting‐state data: An Autism‐based example (2016) — 654 citations
- Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification (2015) — 873 citations
- Eye can read your mind: decoding gaze fixations to reveal categorical search targets. (2013) — 60 citations
- Multi-Task Learning of Gaussian Graphical Models (2010) — 70 citations
- Sparse and Locally Constant Gaussian Graphical Models (2009) — 28 citations