Sushant Mehta

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it

Whom Sushant Mehta trusts overall

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

1. Justin Johnson

Papers from Sushant Mehta's perspective

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

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

Their papers

• Interactive Image Generation Using Scene Graphs (2019) — 59 citations