Kejie Li
Computer Vision and Pattern Recognition · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 300 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 105 citations into it
- Computer Graphics and Computer-Aided Design — 39 citations into it
- Computational Mechanics — 26 citations into it
- Aerospace Engineering — 25 citations into it
- 3D Vision & Pose — 16 citations into it
- Artificial Intelligence — 12 citations into it
- Media Technology — 12 citations into it
- Model Architectures — 8 citations into it
Whom Kejie Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- David G. Lowe
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
- Jimmy Ba
- Yann LeCun
- Andrew Zisserman
Papers from Kejie Li's perspective
Ordered by how strongly the researchers Kejie Li 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- MVDream: Multi-view Diffusion for 3D Generation (2023) — 1,054 citations
- Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction (2018) — 694 citations
- NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior (2022) — 363 citations