Maneesh Singh

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Generative Models — 13 citations into it
• Artificial Intelligence — 9 citations into it

Whom Maneesh Singh trusts overall

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

1. Aäron van den Oord
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Oriol Vinyals
6. Yoshua Bengio
7. Alex Krizhevsky

Papers from Maneesh Singh's perspective

Ordered by how strongly the researchers Maneesh 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation (2022) — 310 citations