Shivam Duggal
Computer Vision and Pattern Recognition · 2019–2023
A researcher in the Science corpus: 2 papers; trusts 208 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 86 citations into it; #21,457 of 21,575 by trust here, #15,529 by citations
- Artificial Intelligence — 37 citations into it
- Generative Models — 30 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Aerospace Engineering — 9 citations into it
Whom Shivam Duggal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- David G. Lowe
- Daniel Scharstein
- Diederik P. Kingma
- Yann LeCun
- Heiko Hirschmüller
- Alex Krizhevsky
- Yoshua Bengio
- Andreas Geiger
Who trusts Shivam Duggal overall
- Yuchao Dai
- Haofei Xu
- Gangwei Xu
- Hamid Laga
- Xiaodong Gu
- Zhibo Rao
- Juyong Zhang
- Junda Cheng
- Laurent Valentin Jospin
Papers from Shivam Duggal's perspective
Ordered by how strongly the researchers Shivam Duggal 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Your Diffusion Model is Secretly a Zero-Shot Classifier (2023) — 371 citations
- DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (2019) — 310 citations