Gautam Prasad

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 2 papers; trusts 327 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #19,885 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 24 citations into it; #32,387 of 35,345 by trust here, #25,809 by citations

Whom Gautam Prasad trusts overall

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

1. Karen Simonyan
2. Limin Wang
3. Andrew Zisserman
4. Geoffrey E. Hinton
5. Kaiming He
6. Alex Krizhevsky
7. Ross B. Girshick
8. Ivan Laptev
9. Yoshua Bengio
10. Yann LeCun

Who trusts Gautam Prasad overall

1. Dima Damen
2. Davide Moltisanti

Papers from Gautam Prasad's perspective

Ordered by how strongly the researchers Gautam Prasad 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Weakly Supervised Action Localization by Sparse Temporal Pooling Network (2017) — 380 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations