Hardik Sharma

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it
• Electrical and Electronic Engineering — 65 citations into it

Whom Hardik Sharma trusts overall

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

1. Alex Krizhevsky
2. Yu-hsin Chen
3. Geoffrey E. Hinton
4. Yann LeCun
5. Sepp Hochreiter
6. Yoshua Bengio
7. Kaiming He
8. J. Urgen Schmidhuber
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Hardik Sharma overall

1. Kuan Wang
2. Md Maruf Hossain Shuvo
3. Yongming Shen
4. Zhijian Liu
5. By Lei Deng
6. Stefanos Laskaridis
7. Zi-Mei Yao
8. Udit Gupta
9. Song Han
10. Syed Kamrul Islam

Papers from Hardik Sharma's perspective

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

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

Their papers

• Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network (2017) — 561 citations
• From high-level deep neural models to FPGAs (2016) — 500 citations
• Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks (2020) — 143 citations