Yimin Zhang

Computer Vision and Pattern Recognition · with Chan · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 8 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yimin Zhang trusts overall

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

1. Zhizhong Li
2. Gido M. van de Ven

Papers from Yimin Zhang's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Microsoft COCO: Common Objects in Context
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Challenges in Task Incremental Learning for Assistive Robotics (2020) — 37 citations
• Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM (2019) — 193 citations