Xiaodong Cun
Computer Vision and Pattern Recognition · 2020–2024
A researcher in the Science corpus: 9 papers; trusts 975 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 325 citations into it; #11,163 of 21,575 by trust here, #5,711 by citations
- Generative Models — 103 citations into it
- Artificial Intelligence — 83 citations into it
- Multimodal Learning — 49 citations into it
- Model Architectures — 38 citations into it
- Computer Graphics and Computer-Aided Design — 34 citations into it
- Media Technology — 31 citations into it; #1,574 of 3,621 by trust here, #1,017 by citations
- Signal Processing — 20 citations into it
Whom Xiaodong Cun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Andrew Zisserman
Who trusts Xiaodong Cun overall
- Xiaohong Huang
- Jing Lin
- Salman Hameed Khan
- Xiangyu Chen
- Jeya Maria Jose Valanarasu
- Jingyun Liang
- Syed Waqas Zamir
- Kepan Nan
- Dandan Li
- Liangyu Chen
Papers from Xiaodong Cun's perspective
Ordered by how strongly the researchers Xiaodong Cun 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
- Uformer: A General U-Shaped Transformer for Image Restoration (2021) — 2,238 citations
- EvalCrafter: Benchmarking and Evaluating Large Video Generation Models (2023) — 347 citations
- FateZero: Fusing Attentions for Zero-shot Text-based Video Editing (2023) — 548 citations
- Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos (2023) — 353 citations
- VideoCrafter1: Open Diffusion Models for High-Quality Video Generation (2023) — 596 citations
- VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models (2024) — 654 citations
- Generating Human Motion from Textual Descriptions with Discrete Representations (2023) — 716 citations
- SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (2022) — 493 citations
- Defocus Blur Detection via Depth Distillation (2020) — 36 citations