Marcin Marszalek
Computer Vision and Pattern Recognition · 2006–2010
A researcher in the Science corpus: 8 papers; trusts 778 researchers and is trusted by 9,259 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 147 citations into it; #200 of 21,575 by trust here, #567 by citations
- Artificial Intelligence — 33 citations into it; #1,220 of 35,345 by trust here, #1,982 by citations
- Media Technology — 17 citations into it
- Aerospace Engineering — 13 citations into it
- Natural Language Processing — 8 citations into it
- Biomedical Engineering — 7 citations into it
- Optimization & Training — 7 citations into it
- Cognitive Neuroscience — 6 citations into it
Whom Marcin Marszalek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan Laptev
- David G. Lowe
- Cordelia Schmid
- Krystian Mikolajczyk
- Christopher K. I. Williams
- Dekang Lin
- Antonio Torralba
- Andrew Zisserman
- Svetlana Lazebnik
- Navneet Dalal
Who trusts Marcin Marszalek overall
- Limin Wang
- Cordelia Schmid
- Ivan Laptev
- Andrew Zisserman
- Li Fei-Fei
- Quoc V. Le
- Kristen Grauman
- Jia Deng
- Luc Van Gool
- Yu-Gang Jiang
Papers from Marcin Marszalek's perspective
Ordered by how strongly the researchers Marcin Marszalek 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning realistic human actions from movies (2008) — 3,817 citations
- Actions in context (2009) — 1,409 citations
- A Spatio-Temporal Descriptor Based on 3D-Gradients (2008) — 2,054 citations
- Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study (2006) — 2,191 citations
- Dataset Issues in Object Recognition (2006) — 262 citations
- Semantic Hierarchies for Visual Object Recognition (2007) — 321 citations
- High Five: Recognising human interactions in TV shows (2010) — 197 citations
- Ieee Transactions on Pattern Analysis an Machine Intelligence Structured Learning of Human Interactions in Tv Shows