Jelena Kovacevic
Computer Vision and Pattern Recognition · 2001–2017
A researcher in the Science corpus: 9 papers; trusts 75 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it; #4,386 of 21,575 by trust here, #6,281 by citations
- Artificial Intelligence — 40 citations into it; #25,638 of 35,345 by trust here, #17,110 by citations
- Applied Mathematics — 39 citations into it; #814 of 7,620 by trust here, #1,116 by citations
- Signal Processing — 32 citations into it; #1,476 of 7,572 by trust here, #2,221 by citations
- Statistical and Nonlinear Physics — 31 citations into it; #6,953 of 10,127 by trust here, #3,382 by citations
- Computational Mechanics — 30 citations into it
- Graph Learning — 21 citations into it
- Computational Theory and Mathematics — 20 citations into it; #8,011 of 12,182 by trust here, #8,294 by citations
Whom Jelena Kovacevic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ingrid Daubechies
- Stéphane Mallat
- E.J. Candes
- David L. Donoho
- Aliaksei Sandryhaila
- Ole W. Christensen
- Vivek K Goyal
- Gregory K. Wallace
- Mark J. Shensa
- Peter G. Casazza
Who trusts Jelena Kovacevic overall
- Minh N. Do
- Peter G. Casazza
- P. Gǎvruţa
- Martin Vetterli
- Vivek K Goyal
- E.J. Candes
- Götz E. Pfander
- Roman Vershynin
- Gitta Kutyniok
- Alan S. Willsky
Papers from Jelena Kovacevic's perspective
Ordered by how strongly the researchers Jelena Kovacevic trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- An Introduction to Frames (2008) — 202 citations
- Graph Signal Processing: Overview, Challenges, and Applications (2017) — 1,859 citations
- Foundations of Signal Processing (2014) — 357 citations
- Discrete Signal Processing on Graphs: Sampling Theory (2015) — 673 citations
- Signal Recovery on Graphs: Variation Minimization (2014) — 298 citations
- Wavelets and Subband Coding (2013) — 3,011 citations
- Reproducible research in signal processing (2009) — 301 citations
- Equal-Norm Tight Frames with Erasures (2003) — 396 citations
- Quantized Frame Expansions with Erasures (2001) — 566 citations