Anyi Rao
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 5 papers; trusts 762 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 190 citations into it; #6,690 of 21,575 by trust here, #4,105 by citations
- Artificial Intelligence — 86 citations into it; #10,616 of 35,345 by trust here, #7,945 by citations
- Generative Models — 61 citations into it; #855 of 1,956 by trust here, #595 by citations
- Computer Graphics and Computer-Aided Design — 35 citations into it
- Multimodal Learning — 34 citations into it; #489 of 1,211 by trust here, #471 by citations
- Model Architectures — 22 citations into it
- Natural Language Processing — 21 citations into it; #2,106 of 5,688 by trust here, #1,813 by citations
- Evaluation & Benchmarks — 18 citations into it
Whom Anyi Rao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Alex Graves
Who trusts Anyi Rao overall
- Eric Wallace
- Yonatan Belinkov
- Shi Feng
- Xintao Wang
- Linyang Li
- Tao Yang
- Mohit Iyyer
- Keita Kurita
- Liucheng Hu
- Siddhant Garg
Papers from Anyi Rao's perspective
Ordered by how strongly the researchers Anyi Rao 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
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Adding Conditional Control to Text-to-Image Diffusion Models (2023) — 7,354 citations
- HotFlip: White-Box Adversarial Examples for Text Classification (2017) — 1,263 citations
- AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning (2023) — 1,619 citations
- MovieNet: A Holistic Dataset for Movie Understanding (2020) — 319 citations
- BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering (2021) — 323 citations