Vitjan Zavrtanik
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #16,093 of 35,345 by trust here, #21,878 by citations
- Computer Vision and Pattern Recognition — 32 citations into it; #10,281 of 21,575 by trust here, #14,478 by citations
- Biophysics — 8 citations into it
- Media Technology — 7 citations into it
- Computer Networks and Communications — 6 citations into it
Whom Vitjan Zavrtanik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Samet Akcay
- Paul Bergmann
- Thomas Schlegl
- Kaiming He
- Jia Deng
- Ross B. Girshick
- Tsung-Yi Lin
- Alex Krizhevsky
- Geoffrey E. Hinton
- Jihun Yi
Who trusts Vitjan Zavrtanik overall
- Guoyang Xie
- Tran Dinh Tien
- Hanqiu Deng
- Zhikang Liu
- Xuan Zhang
- Zhaopeng Gu
- Jingbao Wang
- Anh Tuan Nguyen
- Xingyu Li
- Jingkang Yang
Papers from Vitjan Zavrtanik's perspective
Ordered by how strongly the researchers Vitjan Zavrtanik 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
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
Their papers
- DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection (2021) — 1,151 citations
- Reconstruction by inpainting for visual anomaly detection (2020) — 732 citations