Liang Li

Computer Vision and Pattern Recognition · with Chae · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it

Whom Liang Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He

Papers from Liang Li's perspective

Ordered by how strongly the researchers Liang Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet: A large-scale hierarchical image database
3. GENERATIVE ADVERSARIAL NETS
4. ImageNet classification with deep convolutional neural networks
5. Fully convolutional networks for semantic segmentation
6. Gradient-based learning applied to document recognition
7. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning (2019) — 474 citations