Paper-Talk

The interesting papers read are shared here. The fields of papers include but do not limited in： graph representation learning, skeleton-based action recognition and prediction, varitional inference and so on. The raw papers (links), paper notes (seperated according to their publication) are presented.

1 Graph Representation Learning

1.1 Hypergraph embedding

Structural Deep Embedding for Hyper-Networks (AAAI 2018)

• Authors: K. Tu, P. Cui, X. Wang, F. Wang, W. Zhu
• Paper
• Notes

Hypergraph Neural Networks (AAAI 2019)

• Authors: Y. Feng, H. You, Z. Zhang, R. Ji, Y. Gao
• Paper
• Notes

2 3D Action Analysis

2.1 Action prediction and generation

Adversarial Geometry-Aware Human Motion Prediction (ECCV 2018)

• Authors: L. Gui, Y. Wang, X. Liang, J. Moura
• Paper
• Notes

2.2 Action recognition

Neural Graph Matching Networks for Fewshot 3D Action Recognition (ECCV 2018)

• Authors: M. Guo, E. Chou, D. Huang, S. Song, S. Yeungm, F. Li
• Paper
• Notes