Su-Jing Wang

Computer Vision and Pattern Recognition · with Liu · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Experimental and Cognitive Psychology — 19 citations into it
• Artificial Intelligence — 10 citations into it

Whom Su-Jing Wang trusts overall

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

1. Wen-Jing Yan
2. Xiaobai Li
3. Tomas Pfister
4. Senya Polikovsky
5. Chih-Jen Lin

Papers from Su-Jing Wang's perspective

Ordered by how strongly the researchers Su-Jing Wang 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. LIBSVM: A library for support vector machines
3. ImageNet classification with deep convolutional neural networks
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Multi-PIE
8. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation (2014) — 958 citations
• Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms (2021) — 325 citations