Pål Halvorsen
Computer Vision and Pattern Recognition · 2013–2021
A researcher in the Science corpus: 11 papers; trusts 172 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 89 citations into it; #8,513 of 21,575 by trust here, #5,843 by citations
- Oncology — 49 citations into it; #450 of 1,698 by trust here, #799 by citations
- Artificial Intelligence — 48 citations into it
- Model Architectures — 23 citations into it
- Media Technology — 13 citations into it
- Radiology, Nuclear Medicine and Imaging — 13 citations into it; #2,607 of 3,265 by trust here, #1,399 by citations
- Optimization & Training — 8 citations into it
- Ocean Engineering — 6 citations into it
Whom Pål Halvorsen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Jorge Bernal
- Alex Krizhevsky
- Karen Simonyan
- Geoffrey E. Hinton
- Jia Deng
- Christian Szegedy
- Andrew Zisserman
- X. Zhang
- Liang-Chieh Chen
Who trusts Pål Halvorsen overall
Papers from Pål Halvorsen's perspective
Ordered by how strongly the researchers Pål Halvorsen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection (2017) — 875 citations
- Commute path bandwidth traces from 3G networks: analysis and applications (2013) — 384 citations
- A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation (2021) — 307 citations
- On evaluation metrics for medical applications of artificial intelligence (2021) — 828 citations
- DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation (2020) — 819 citations
- HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy (2019) — 566 citations
- Kvasir-SEG: A Segmented Polyp Dataset (2019) — 1,927 citations
- ResUNet++: An Advanced Architecture for Medical Image Segmentation (2019) — 1,345 citations
- CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection (2017) — 40 citations
- ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview (2016) — 89 citations
- Soccer video and player position dataset (2014) — 104 citations