Samaneh Azadi
Computer Vision and Pattern Recognition · 2014–2024
A researcher in the Science corpus: 10 papers; trusts 896 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 233 citations into it; #10,673 of 21,575 by trust here, #6,485 by citations
- Generative Models — 189 citations into it; #1,080 of 1,956 by trust here, #1,221 by citations
- Artificial Intelligence — 69 citations into it; #18,707 of 35,345 by trust here, #16,771 by citations
- Computer Graphics and Computer-Aided Design — 34 citations into it
- Multimodal Learning — 32 citations into it; #963 of 1,211 by trust here, #984 by citations
- Optimization & Training — 27 citations into it
- Media Technology — 21 citations into it
- Evaluation & Benchmarks — 18 citations into it; #2,569 of 3,147 by trust here, #2,482 by citations
Whom Samaneh Azadi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Karen Simonyan
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
- Yurii E. Nesterov
- Ilya Sutskever
Who trusts Samaneh Azadi overall
- Michael Arbel
- Sayna Ebrahimi
- Jiaming Song
- Trevor Darrell
- Amanda Rios
- Jun Ye Yu
- Zhisheng Xiao
- Stefano Ermon
- Sangwoo Mo
- Abdul Fatir Ansari
Papers from Samaneh Azadi's perspective
Ordered by how strongly the researchers Samaneh Azadi 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)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Going deeper with convolutions
Their papers
- Discriminator Rejection Sampling (2018) — 144 citations
- Multi-content GAN for Few-Shot Font Style Transfer (2017) — 350 citations
- Compositional GAN: Learning Image-Conditional Binary Composition (2018) — 103 citations
- More Control for Free! Image Synthesis with Semantic Diffusion Guidance (2021) — 339 citations
- Semantic Bottleneck Scene Generation (2019) — 31 citations
- Movie Gen: A Cast of Media Foundation Models (2024) — 592 citations
- First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment. (2022) — 729 citations
- Benchmark for Compositional Text-to-Image Synthesis (2021) — 165 citations
- Compositional GAN: Learning Conditional Image Composition (2018) — 26 citations
- Towards an optimal stochastic alternating direction method of multipliers (2014) — 63 citations