Narayanan Chatapuram Krishnan
Computer Vision and Pattern Recognition · 2012–2016
A researcher in the Science corpus: 5 papers; trusts 171 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 65 citations into it; #16,075 of 21,575 by trust here, #9,187 by citations
- Artificial Intelligence — 26 citations into it
- Biomedical Engineering — 12 citations into it
- Computer Networks and Communications — 11 citations into it; #8,011 of 9,886 by trust here, #5,733 by citations
- Electrical and Electronic Engineering — 9 citations into it; #12,053 of 16,539 by trust here, #9,210 by citations
- Representation & Self-Supervised Learning — 9 citations into it
- Transportation — 9 citations into it
- Signal Processing — 6 citations into it
Whom Narayanan Chatapuram Krishnan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diane Joyce Cook
- Chih-Jen Lin
- J. Platt
- Emmanuel Munguia Tapia
- Sinno Jialin Pan
- Stephen S. Intille
- Nishkam Ravi
- Jonathan Lester
- Oliver Brdiczka
- Somboon Hongeng
Who trusts Narayanan Chatapuram Krishnan overall
Papers from Narayanan Chatapuram Krishnan's perspective
Ordered by how strongly the researchers Narayanan Chatapuram Krishnan 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- CASAS: A Smart Home in a Box (2012) — 707 citations
- Activity Recognition on Streaming Sensor Data (2012) — 518 citations
- Simple and Complex Activity Recognition through Smart Phones (2012) — 328 citations
- SpotGarbage: smartphone app to detect garbage using deep learning (2016) — 214 citations
- Transfer Learning for Activity Recognition: A Survey (2013) — 451 citations