Shuyang Gu
Computer Vision and Pattern Recognition · 2019–2023
A researcher in the Science corpus: 8 papers; trusts 669 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 323 citations into it; #14,549 of 21,575 by trust here, #4,344 by citations
- Generative Models — 231 citations into it
- Artificial Intelligence — 110 citations into it
- Model Architectures — 32 citations into it
- Optimization & Training — 29 citations into it
- Statistical and Nonlinear Physics — 28 citations into it
- Signal Processing — 24 citations into it
- Evaluation & Benchmarks — 20 citations into it
Whom Shuyang Gu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Christian Szegedy
- Ilya Sutskever
- Tero Karras
Who trusts Shuyang Gu overall
- Dongchao Yang
- Bo Zhang
- Jiaolong Yang
- José Lezama
- Jianmin Bao
- Dong Chen
- Huiwen Chang
- Chenshuang Zhang
- Pan Zhang
- Zhichao Wu
Papers from Shuyang Gu's perspective
Ordered by how strongly the researchers Shuyang Gu 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
- Vector Quantized Diffusion Model for Text-to-Image Synthesis (2021) — 1,090 citations
- Paint by Example: Exemplar-based Image Editing with Diffusion Models (2022) — 643 citations
- StyleSwin: Transformer-based GAN for High-resolution Image Generation (2021) — 311 citations
- Mask-Guided Portrait Editing With Conditional GANs (2019) — 151 citations
- RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion (2022) — 393 citations
- GIQA: Generated Image Quality Assessment (2020) — 104 citations
- Efficient Diffusion Training via Min-SNR Weighting Strategy (2023) — 302 citations
- PriorGAN: Real Data Prior for Generative Adversarial Nets (2020) — 5 citations