Wei-zhi Nie
Computer Vision and Pattern Recognition · 2015–2018
A researcher in the Science corpus: 6 papers; trusts 154 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 — 45 citations into it
- Biomedical Engineering — 24 citations into it
- Human-Computer Interaction — 24 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Optimization & Training — 6 citations into it
Whom Wei-zhi Nie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin A. Zinkevich
- Ivan Laptev
- Ron Zass
- Heng Wang
- Yurii E. Nesterov
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Jingen Liu
Who trusts Wei-zhi Nie overall
Papers from Wei-zhi Nie's perspective
Ordered by how strongly the researchers Wei-zhi Nie trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition (2017) — 374 citations
- Benchmarking a Multimodal and Multiview and Interactive Dataset for Human Action Recognition (2017) — 108 citations
- RGB-D Object-to-CAD Retrieval (2018) — 18 citations
- Multi-modal & Multi-view & Interactive Benchmark Dataset for Human Action Recognition (2015) — 24 citations
- Coupled hidden conditional random fields for RGB-D human action recognition (2015) — 86 citations
- Clique-graph matching by preserving global & local structure (2015) — 60 citations