Liming Zheng
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 8 citations into it
- Model Architectures — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Liming Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Liming Zheng's perspective
Ordered by how strongly the researchers Liming Zheng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Rethinking the Inception Architecture for Computer Vision
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Xception: Deep Learning with Depthwise Separable Convolutions
- Convergence Analysis of Two-layer Neural Networks with ReLU Activation
- Deep Reinforcement Learning: An Overview
- Help from the Sky: Leveraging UAVs for Disaster Management (IEEE pervasive computing)
- Benchmarking TPU, GPU, and CPU Platforms for Deep Learning (arXiv.org)
- Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning (arXiv.org)
Their papers
- Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset (2020) — 336 citations