Junbao Li
Computer Vision and Pattern Recognition · 2006–2017
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 5 citations into it; #14,279 of 21,575 by trust here, #21,103 by citations
Whom Junbao Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Junbao Li overall
Papers from Junbao Li's perspective
Ordered by how strongly the researchers Junbao Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Going deeper with convolutions
- Self-improving reactive agents based on reinforcement learning, planning and teaching
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Age and gender classification using convolutional neural networks
- Effective reinforcement learning for mobile robots
- SEXNET: A Neural Network Identifies Sex From Human Faces
- Learning from facial aging patterns for automatic age estimation (ACM Multimedia)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Deep convolutional neural networks-based age and gender classification with facial images (2017) — 20 citations
- A Heuristic Reinforcement Learning for Robot Approaching Objects (2006) — 5 citations