Trac Duy Tran
Computational Mechanics · 2001–2011
A researcher in the Science corpus: 7 papers; trusts 84 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 88 citations into it; #1,925 of 10,001 by trust here, #2,112 by citations
- Computer Vision and Pattern Recognition — 50 citations into it; #16,051 of 21,575 by trust here, #17,258 by citations
- Signal Processing — 29 citations into it; #5,593 of 7,572 by trust here, #6,355 by citations
- Statistics and Probability — 25 citations into it; #7,499 of 12,932 by trust here, #7,508 by citations
- Artificial Intelligence — 23 citations into it
- Biomedical Engineering — 17 citations into it; #1,977 of 10,734 by trust here, #6,773 by citations
- Media Technology — 16 citations into it; #2,017 of 3,621 by trust here, #1,770 by citations
- Applied Mathematics — 15 citations into it
Whom Trac Duy Tran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Joel A. Tropp
- Michel Ledoux
- Robert Tibshirani
- Martin J. Wainwright
- David L. Donoho
- Justin K. Romberg
- Terence Tao
- Michael Elad
- Vladimir Naumovich Vapnik
Who trusts Trac Duy Tran overall
Papers from Trac Duy Tran's perspective
Ordered by how strongly the researchers Trac Duy Tran 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)
- Gradient-based learning applied to document recognition
- Regression Shrinkage and Selection via the Lasso
- 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)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Robust Lasso With Missing and Grossly Corrupted Observations (2011) — 168 citations
- Exact Recoverability From Dense Corrupted Observations via $\ell _{1}$-Minimization (2011) — 123 citations
- Sparsity adaptive matching pursuit algorithm for practical compressed sensing (2008) — 580 citations
- Fast and Efficient Compressive Sensing Using Structurally Random Matrices (2011) — 377 citations
- Hyperspectral image classification via kernel sparse representation (2011) — 474 citations
- Sparse Representation for Target Detection in Hyperspectral Imagery (2011) — 416 citations
- Fast multiplierless approximations of the DCT with the lifting scheme (2001) — 317 citations