Dan Oneaţă
Computer Vision and Pattern Recognition · 2013–2015
A researcher in the Science corpus: 4 papers; trusts 506 researchers and is trusted by 452 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 124 citations into it; #1,959 of 21,575 by trust here, #5,507 by citations
- Artificial Intelligence — 42 citations into it
- Media Technology — 12 citations into it
- Aerospace Engineering — 11 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Dan Oneaţă trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Ivan Laptev
- Cordelia Schmid
- Andrew Zisserman
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Ross B. Girshick
- Jitendra Malik
- Piotr Doll'ar
Who trusts Dan Oneaţă overall
- Cordelia Schmid
- Hilde Kuehne
- Yi Zhu
- Limin Wang
- Zheng Shou
- Chen Sun
- Philippe Weinzaepfel
- Chuang Gan
- Tianwei Lin
- Suyog Dutt Jain
Papers from Dan Oneaţă's perspective
Ordered by how strongly the researchers Dan Oneaţă 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- Action and Event Recognition with Fisher Vectors on a Compact Feature Set (2013) — 434 citations
- Spatio-temporal Object Detection Proposals (2014) — 226 citations
- A Robust and Efficient Video Representation for Action Recognition (2015) — 339 citations
- The LEAR submission at Thumos 2014 (2014) — 144 citations