Yuexiang Li
Computer Vision and Pattern Recognition · Italian National Conference on Sensors · 2017–2023
A researcher in the Science corpus: 5 papers; trusts 283 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 116 citations into it
- Artificial Intelligence — 57 citations into it
- Biophysics — 33 citations into it
- Model Architectures — 19 citations into it
- Media Technology — 16 citations into it
- Oncology — 12 citations into it
Whom Yuexiang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Yann LeCun
- Alex Krizhevsky
- Andrea Vedaldi
- Geoffrey E. Hinton
- Diederik P. Kingma
- Karen Simonyan
- Olaf Ronneberger
- Christian Szegedy
- Yoshua Bengio
Papers from Yuexiang Li's perspective
Ordered by how strongly the researchers Yuexiang 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion (2023) — 332 citations
- A Multi-Organ Nucleus Segmentation Challenge (2020) — 533 citations
- An Objective Comparison of Cell Tracking Algorithms (2017) — 542 citations
- Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation (2020) — 34 citations
- Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network (2017) — 584 citations