Agrim Gupta
Computer Vision and Pattern Recognition · with Essa · 2023
A researcher in the Science corpus: 3 papers; trusts 189 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 167 citations into it
- Generative Models — 77 citations into it
- Artificial Intelligence — 75 citations into it
Whom Agrim Gupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Alec Radford
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Ross B. Girshick
Papers from Agrim Gupta's perspective
Ordered by how strongly the researchers Agrim Gupta trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- Photorealistic Video Generation with Diffusion Models (2023) — 341 citations
- Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation (2023) — 665 citations
- VideoPoet: A Large Language Model for Zero-Shot Video Generation (2023) — 521 citations