Sainandan Ramakrishnan
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 140 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it; #10,363 of 21,575 by trust here, #12,419 by citations
- Artificial Intelligence — 24 citations into it; #16,253 of 35,345 by trust here, #18,586 by citations
- Natural Language Processing — 11 citations into it
- Multimodal Learning — 8 citations into it
Whom Sainandan Ramakrishnan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aishwarya Agrawal
- Kaiming He
- Shaoqing Ren
- Geoffrey E. Hinton
- Ross B. Girshick
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Karen Simonyan
- Ilya Sutskever
Who trusts Sainandan Ramakrishnan overall
- Christopher Clark
- Damien Teney
- Zujie Liang
- Chao Zhang
- Wenhu Chen
- Rémi Cadène
- Yulei Niu
- Long Chen
- Yangyang Guo
- Hanwang Zhang
Papers from Sainandan Ramakrishnan's perspective
Ordered by how strongly the researchers Sainandan Ramakrishnan 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Overcoming Language Priors in Visual Question Answering with Adversarial Regularization (2018) — 272 citations