任玉强

玉强 任 is a researcher at Tencent, specializing in artificial intelligence with a focus on computer vision, particularly in facial recognition, image recognition, semantic segmentation, and facial liveness detection. They previously worked as an algorithm engineer at Cloudwalk from 2014 to 2016, where they developed liveness detection algorithms based on lip-reading for facial recognition applications.玉强 also served as an algorithm engineer at Mogu Street from 2016 to 2018, researching semantic segmentation algorithms for e-commerce fashion images and improving fine-grained color recognition for clothing items. They earned a master's degree in image processing and pattern recognition from the University of Chinese Academy of Sciences from 2013 to 2016.