Roman P. Pflugfelder
Computer Vision and Pattern Recognition · 2015–2020
A researcher in the Science corpus: 7 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 323 citations into it
- Evaluation & Benchmarks — 43 citations into it
Whom Roman P. Pflugfelder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Danelljan
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yi Wu
- Ross B. Girshick
- Andrew Zisserman
- João F. Henriques
- Diederik P. Kingma
Who trusts Roman P. Pflugfelder overall
Papers from Roman P. Pflugfelder's perspective
Ordered by how strongly the researchers Roman P. Pflugfelder 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
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- A Novel Performance Evaluation Methodology for Single-Target Trackers (2015) — 661 citations
- The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
- The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
- The Eighth Visual Object Tracking VOT2020 Challenge Results (2020) — 345 citations
- The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations