Gaurav Mittal

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 458 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it
• Artificial Intelligence — 36 citations into it
• Generative Models — 36 citations into it
• Model Architectures — 13 citations into it
• Multimodal Learning — 12 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Natural Language Processing — 8 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Gaurav Mittal trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Ruslan Salakhutdinov
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Sutskever
7. Alex Graves
8. Kaiming He
9. Yann LeCun
10. Jimmy Ba

Who trusts Gaurav Mittal overall

1. Chaoyun Zhang
2. Uriel Singer
3. M. Mohammadi
4. Songwei Ge
5. Chenfei Wu
6. Thomas Hayes
7. Paul Patras
8. Adam Polyak
9. Ala Al-Fuqaha
10. Xiaoyue Yin

Papers from Gaurav Mittal's perspective

Ordered by how strongly the researchers Gaurav Mittal 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Interactive Image Generation Using Scene Graphs (2019) — 59 citations
• Attentive Semantic Video Generation Using Captions (2017) — 77 citations
• Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures (2016) — 79 citations
• SpotGarbage: smartphone app to detect garbage using deep learning (2016) — 214 citations