Zhijie Chen
Computer Vision and Pattern Recognition · with Yang · 2024
A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 74 citations into it
- Generative Models — 21 citations into it
- Model Architectures — 5 citations into it
- Signal Processing — 5 citations into it
Whom Zhijie Chen trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Ilya Sutskever (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Jia Deng (in Computer Vision and Pattern Recognition)
- Li Fei-Fei (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
Papers from Zhijie Chen's perspective
Ordered by how strongly the researchers Zhijie Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- Long Short-Term Memory
Their papers
- OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation (2024) — 316 citations
- Show-o: One Single Transformer to Unify Multimodal Understanding and Generation (2024) — 730 citations