Anand Rangarajan
Computer Vision and Pattern Recognition · 2000–2018
A researcher in the Science corpus: 8 papers; trusts 89 researchers and is trusted by 1,830 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it; #968 of 21,575 by trust here, #6,606 by citations
- Artificial Intelligence — 21 citations into it; #1,878 of 35,345 by trust here, #7,531 by citations
- Probabilistic & Bayesian Methods — 12 citations into it
- Statistics and Probability — 11 citations into it
- Computational Mechanics — 9 citations into it; #163 of 10,001 by trust here, #623 by citations
- Safety, Robustness & Interpretability — 8 citations into it
- Computer Networks and Communications — 7 citations into it
- Numerical Methods & Scientific Computing — 6 citations into it
Whom Anand Rangarajan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Grace Wahba
- Michael I. Jordan
- Arthur P. Dempster
- Kaiming He
- Geoffrey E. Hinton
- Robert Tibshirani
- Alan L. Yuille
- Kenneth L. Lange
- Radford M. Neal
- Alex Krizhevsky
Who trusts Anand Rangarajan overall
- Jitendra Malik
- Serge J. Belongie
- Li Fei-Fei
- Yi Yang
- Ross B. Girshick
- Alexander Gerhard Schwing
- Alan L. Yuille
- Luc Van Gool
- Trevor Darrell
- Xiaodan Liang
Papers from Anand Rangarajan's perspective
Ordered by how strongly the researchers Anand Rangarajan 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A new point matching algorithm for non-rigid registration (2003) — 1,728 citations
- A new algorithm for non-rigid point matching (2000) — 537 citations
- The Concave-Convex Procedure (2003) — 1,286 citations
- Global Model Interpretation Via Recursive Partitioning (2018) — 89 citations
- Image Denoising Using the Higher Order Singular Value Decomposition (2013) — 326 citations
- Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration (2009) — 60 citations
- Algorithms for advanced packet classification with ternary CAMs (2005) — 312 citations
- The Concave-Convex Procedure (CCCP) (2001) — 547 citations