1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., et al. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283).
2. Achlioptas, P., Diamanti, O., Mitliagkas, I., & Guibas, L. (2018). Learning representations and generative models for 3D point clouds. In International conference on machine learning, PMLR (pp. 40–49).
3. Alahi, A., Goel, K., Ramanathan, V., Robicquet, A., Fei-Fei, L., & Savarese, S. (2016). Social LSTM: Human trajectory prediction in crowded spaces. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 961–971).
4. Barrow, H. G., Tenenbaum, J. M., Bolles, R. C., & Wolf, H. C. (1977). Parametric correspondence and chamfer matching: Two new techniques for image matching. In International joint conferences on artificial intelligence.
5. Besl, P. J., & McKay, N. D. (1992). Method for registration of 3-D shapes. Sensor Fusion IV: Control Paradigms and Data Structures, International Society for Optics and Photonics, 1611, 586–606.