Sanjiv Kumar
Computer Vision and Pattern Recognition · 2 papers · 2003–2005
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 1,401 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it; #1,097 of 21,575 by trust here, #6,873 by citations
- Artificial Intelligence — 5 citations into it; #8,184 of 35,345 by trust here, #23,731 by citations
Whom Sanjiv Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Julian Besag
- John D. Lafferty
- S. Li
- Vladimir Kolmogorov
- Fernando C Pereira
- Yann LeCun
- Andrew McCallum
- Fei Sha
- Davi Geiger
- Michael Collins
Who trusts Sanjiv Kumar overall
- Zhuowen Tu
- Xiaofeng Ren
- Antonio Torralba
- Daniel Munoz
- Jamie Shotton
- Martial Hebert
- Jitendra Malik
- John M. Winn
- Justin Domke
- Alan L. Yuille
Papers from Sanjiv Kumar's perspective
Ordered by how strongly the researchers Sanjiv Kumar 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)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)