Tolga Birdal
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 395 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 111 citations into it
- Computational Mechanics — 53 citations into it; #1,011 of 10,001 by trust here, #2,509 by citations
- Aerospace Engineering — 36 citations into it; #475 of 6,421 by trust here, #1,815 by citations
- Geology — 32 citations into it; #69 of 687 by trust here, #263 by citations
- 3D Vision & Pose — 22 citations into it
- Artificial Intelligence — 21 citations into it
- Control and Systems Engineering — 18 citations into it
- Generative Models — 13 citations into it
Whom Tolga Birdal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- David G. Lowe
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- L. V. D. van der Maaten
- Ross B. Girshick
Who trusts Tolga Birdal overall
- Christopher Bongsoo Choy
- Xiaoshui Huang
- Zan Gojcic
- Yongming Rao
- Xuyang Bai
- Weixin Lu
- Fu Li
- Sheng Ao
- Zi Jian Yew
- Guofeng Mei
Papers from Tolga Birdal's perspective
Ordered by how strongly the researchers Tolga Birdal 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- HuMoR: 3D Human Motion Model for Robust Pose Estimation (2021) — 434 citations
- PPFNet: Global Context Aware Local Features for Robust 3D Point Matching (2018) — 639 citations
- 3D Point Capsule Networks (2018) — 365 citations
- PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors (2018) — 435 citations