Achi Brandt
Computer Vision and Pattern Recognition · 2000–2011
A researcher in the Science corpus: 9 papers; trusts 178 researchers and is trusted by 85 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it; #3,535 of 21,575 by trust here, #6,426 by citations
- Media Technology — 10 citations into it; #3,006 of 3,621 by trust here, #2,280 by citations
- Representation & Self-Supervised Learning — 9 citations into it; #2,870 of 3,145 by trust here, #3,089 by citations
- Artificial Intelligence — 8 citations into it; #32,183 of 35,345 by trust here, #33,294 by citations
- Computational Theory and Mathematics — 6 citations into it; #6,902 of 12,182 by trust here, #8,294 by citations
Whom Achi Brandt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianbo Shi
- Jitendra Malik
- Eitan Sharon
- Andrew Y. Ng
- Mikhail Belkin
- Serge J. Belongie
- Charless C. Fowlkes
- Pedro F. Felzenszwalb
- Geoffrey E. Hinton
- Gene H. Golub
Who trusts Achi Brandt overall
- Robert D. Falgout
- Oliver G. Ernst
- João Carreira
- Dan Kushnir
- Martin J. Gander
- Ilya Safro
- James J. Brannick
- Song Wang
- Cristian Sminchisescu
- Timothée Cour
Papers from Achi Brandt's perspective
Ordered by how strongly the researchers Achi Brandt 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
- Gradient-based learning applied to document 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Fast multiscale image segmentation (2000) — 318 citations
- Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration (2007) — 621 citations
- Hierarchy and adaptivity in segmenting visual scenes (2006) — 302 citations
- Relaxation-based coarsening and multiscale graph organization (2010) — 140 citations
- Fast multiscale clustering and manifold identification (2006) — 98 citations
- Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks (2010) — 31 citations
- Multigrid Techniques: 1984 Guide with Applications to Fluid Dynamics, Revised Edition (2011) — 336 citations
- Shape representation and classification using the Poisson equation (2004) — 312 citations
- General highly accurate algebraic coarsening. (2000) — 164 citations