Jagjeet Singh

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it

Whom Jagjeet Singh trusts overall

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

1. Alex Graves
2. Kaiming He
3. Ilya Sutskever
4. Geoffrey E. Hinton

Who trusts Jagjeet Singh overall

1. Yicheng Liu

Papers from Jagjeet Singh's perspective

Ordered by how strongly the researchers Jagjeet Singh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Argoverse: 3D Tracking and Forecasting With Rich Maps (2019) — 1,640 citations
• Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting (2023) — 1,097 citations