Riza Alp Güler
Computer Vision and Pattern Recognition · 2015–2020
A researcher in the Science corpus: 7 papers; trusts 848 researchers and is trusted by 127 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 250 citations into it; #3,044 of 21,575 by trust here, #4,807 by citations
- Computational Mechanics — 65 citations into it
- Artificial Intelligence — 42 citations into it
- 3D Vision & Pose — 41 citations into it
- Human-Computer Interaction — 33 citations into it
- Model Architectures — 24 citations into it
- Control and Systems Engineering — 19 citations into it
- Aerospace Engineering — 15 citations into it
Whom Riza Alp Güler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Shaoqing Ren
- Karen Simonyan
- Yoshua Bengio
- Diederik P. Kingma
- Andrew Zisserman
Who trusts Riza Alp Güler overall
- Shunsuke Saito
- Zerong Zheng
- Dominik Kulon
- Jiankang Deng
- Yisroel Mirsky
- Kaiming He
- Oran Gafni
- Michael J. Black
- Thiemo Alldieck
- Shan Li
Papers from Riza Alp Güler's perspective
Ordered by how strongly the researchers Riza Alp Güler 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- DensePose: Dense Human Pose Estimation in the Wild (2018) — 1,611 citations
- DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild (2016) — 206 citations
- Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance (2018) — 211 citations
- Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild (2020) — 244 citations
- Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion (2019) — 43 citations
- Single Image 3D Hand Reconstruction with Mesh Convolutions (2019) — 68 citations
- Non-rigid 3D Shape Retrieval (2015) — 68 citations