Hierarchical Graph Networks for 3D Human Pose Estimation

no code implementations • 23 Nov 2021 • Han Li, Bowen Shi, Wenrui Dai, Yabo Chen, Botao Wang, Yu Sun, Min Guo, Chenlin Li, Junni Zou, Hongkai Xiong

Recent 2D-to-3D human pose estimation works tend to utilize the graph structure formed by the topology of the human skeleton.

3D Human Pose Estimation

A Deep Learning Inference Scheme Based on Pipelined Matrix Multiplication Acceleration Design and Non-uniform Quantization

no code implementations • 10 Oct 2021 • Yuyang Zhang, Dik Hin Leung, Min Guo, Yijia Xiao, Haoyue Liu, Yunfei Li, Jiyuan Zhang, Guan Wang, Zhen Chen

Matrix multiplication is the bedrock in Deep Learning inference application.

Edge-computing Q-Learning +1

Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans

no code implementations • 23 Sep 2020 • Rohun Kshirsagar, Li-Yen Hsu, Vatshank Chaturvedi, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Renzo Frigato, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Arnold Lee, Miguel Alvarado

We evaluated the ability of machine learning models to predict the per member per month cost of employer groups in their next renewal period, especially those groups who will cost less than 95\% of what an actuarial model predicts (groups with "concession opportunities").

Interpretable Machine Learning