Mohit Garg

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 9 citations into it

Whom Mohit Garg trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Evan Shelhamer
4. Yoshua Bengio
5. David G. Lowe
6. Gil Levi
7. Ilya Sutskever

Papers from Mohit Garg's perspective

Ordered by how strongly the researchers Mohit Garg 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. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Histograms of oriented gradients for human detection
6. Distinctive Image Features from Scale-Invariant Keypoints
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Fully convolutional networks for semantic segmentation
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• SpotGarbage: smartphone app to detect garbage using deep learning (2016) — 214 citations