Harsh Shrivastava

Computer Vision and Pattern Recognition · with Shah · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Harsh Shrivastava trusts overall

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

1. Kaiming He
2. Zhao-Min Chen
3. Eduardo Fonseca
4. Jort Florent Gemmeke
5. X. Zhang
6. D. Ellis
7. Shaoqing Ren
8. Manoj Plakal
9. Xiu-Shen Wei

Who trusts Harsh Shrivastava overall

1. Eduardo Fonseca
2. Xavier Favory

Papers from Harsh Shrivastava's perspective

Ordered by how strongly the researchers Harsh 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. Gradient-based learning applied to document recognition
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Mt-Gcn For Multi-Label Audio Tagging With Noisy Labels (2020) — 19 citations