Eldar Insafutdinov
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 6 papers; trusts 523 researchers and is trusted by 388 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 167 citations into it; #2,106 of 21,575 by trust here, #2,340 by citations
- Artificial Intelligence — 56 citations into it
- Biomedical Engineering — 24 citations into it
- Model Architectures — 16 citations into it
- Aerospace Engineering — 13 citations into it
- Evaluation & Benchmarks — 13 citations into it
- 3D Vision & Pose — 12 citations into it; #322 of 689 by trust here, #129 by citations
- Optimization & Training — 10 citations into it
Whom Eldar Insafutdinov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Mykhaylo Andriluka
- Karen Simonyan
- Christian Szegedy
- Andrew Zisserman
- Leonid Pishchulin
Who trusts Eldar Insafutdinov overall
- Dushyant Mehta
- Juergen Gall
- Zhe Cao
- Yucheng Chen
- Grégory Rogez
- Georgios Pavlakos
- Adrian Bulat
- George Papandreou
- Xiao Sun
- Haoshu Fang
Papers from Eldar Insafutdinov's perspective
Ordered by how strongly the researchers Eldar Insafutdinov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- 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
- DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation (2015) — 1,029 citations
- DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model (2016) — 1,179 citations
- PoseTrack: A Benchmark for Human Pose Estimation and Tracking (2017) — 530 citations
- ArtTrack: Articulated Multi-Person Tracking in the Wild (2016) — 279 citations
- Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications (2016) — 109 citations
- Joint Graph Decomposition and Node Labeling by Local Search (2016) — 12 citations