Duygu Ceylan
Computer Vision and Pattern Recognition · 2013–2023
A researcher in the Science corpus: 8 papers; trusts 765 researchers and is trusted by 230 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 247 citations into it; #2,541 of 21,575 by trust here, #2,240 by citations
- Computational Mechanics — 95 citations into it; #2,880 of 10,001 by trust here, #598 by citations
- Computer Graphics and Computer-Aided Design — 62 citations into it
- Generative Models — 55 citations into it
- 3D Vision & Pose — 40 citations into it; #419 of 689 by trust here, #229 by citations
- Artificial Intelligence — 28 citations into it
- Aerospace Engineering — 23 citations into it; #5,581 of 6,421 by trust here, #3,644 by citations
- Multimodal Learning — 17 citations into it
Whom Duygu Ceylan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Ross B. Girshick
- Jia Deng
Who trusts Duygu Ceylan overall
- Gyeongsik Moon
- Julian Chibane
- Thiemo Alldieck
- Charles Ruizhongtai Qi
- Michal Geyer
- Shuai Yang
- Gerard Pons-Moll
- Shunsuke Saito
- Zerong Zheng
- Dominik Kulon
Papers from Duygu Ceylan's perspective
Ordered by how strongly the researchers Duygu Ceylan 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- Transformation-Grounded Image Generation Network for Novel 3D View Synthesis (2017) — 294 citations
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction (2019) — 619 citations
- A scalable active framework for region annotation in 3D shape collections (2016) — 1,414 citations
- FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images (2019) — 514 citations
- BodyNet: Volumetric Inference of 3D Human Body Shapes (2018) — 456 citations
- Dense Human Body Correspondences Using Convolutional Networks (2015) — 211 citations
- Pix2Video: Video Editing using Image Diffusion (2023) — 390 citations
- Symmetry in 3D Geometry: Extraction and Applications (2013) — 387 citations