Ashish Shrivastava

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #6,318 of 21,572 by trust here, #3,166 by citations

Whom Ashish Shrivastava trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yann LeCun
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Individualized Treat
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Yoshua Bengio
9. Jia Deng
10. Karen Simonyan

Who trusts Ashish Shrivastava overall

1. Yuezun Li
2. Garrett Wilson
3. Sergey I. Nikolenko
4. Hoang Thanh-Tung
5. Zizhao Zhang
6. Yang Zhang
7. Jun-Yan Zhu
8. Xiaodan Liang
9. Mei Wang
10. Cheng Chen

Papers from Ashish Shrivastava's perspective

Ordered by how strongly the researchers Ashish Shrivastava trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning from Simulated and Unsupervised Images through Adversarial Training (2016) — 1,905 citations