Arjan Kuijper
Computer Vision and Pattern Recognition · 2010–2021
A researcher in the Science corpus: 4 papers; trusts 74 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 98 citations into it; #20,616 of 21,575 by trust here, #14,151 by citations
- Artificial Intelligence — 31 citations into it
- Generative Models — 21 citations into it
Whom Arjan Kuijper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
- Navneet Dalal
- Christian Szegedy
- Individualized Treat
Who trusts Arjan Kuijper overall
Papers from Arjan Kuijper's perspective
Ordered by how strongly the researchers Arjan Kuijper 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)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours (2010) — 114 citations
- ElasticFace: Elastic Margin Loss for Deep Face Recognition (2021) — 310 citations
- GANs for Medical Image Analysis (2018) — 505 citations
- Visual Analysis of Large Graphs: State‐of‐the‐Art and Future Research Challenges (2011) — 597 citations