“It is hard to find someone who has better-combined skill and ability both in academic research and industry innovation than her,” Xiao’ou Tang, the founder of SenseTime, said highly of Jianping Shi.
Jianping already demonstrated outstanding research ability when she was in university. During her Ph.D., she published 12 papers in major conferences and high-impact journals, including CVPR and ICCV. In many of them, she was the major contributor and proposed essential algorithms.
One of Jianping’s major breakthroughs was creating the field of blur image estimation. She primarily focused on analyzing blur related features and conducting applications to amplify blur effect for professional camera simulation. Her solutions provided fundamental insights and a widely-adopted evaluation platform for follow-up research.
“I believe deep learning is the key to unleashing the potential of computer vision. I really enjoy taking on challenges and applying such technologies to real life problems,” Jianping said. In fact, this spirit motivated her to join SenseTime, a new-born Chinese AI company at that time.
Jianping acted as the Research Director at SenseTime, leading the research projects across multiple areas like mobility, remote sensing, augmented reality, and autonomous driving. Many of the projects have already spawned real-life products like SenseBeauty for mobile beautify applications and SenseAD for the autonomous driving platform.
Meanwhile, Jianping also led the team to continuously invent fundamental algorithms and proposed many technical solutions to improve performance. Their innovative algorithms, such as PSPNet, PANet, and FishNet, helped them win several awards in many worldwide contests, including the ImageNet scene parsing challenge, the DAVIS video segmentation challenge, and the COCO instance segmentation challenge.
In recent years, Jianping has devoted most of her effort into the development of autonomous driving systems. Her team collaborated with Honda and managed to create a self-driving car that only relied on cameras to execute the driving programs in normal and bad weather conditions.
The final demonstration impressed everyone at the Honda annual technical event in 2016. This success eventually led to the long-term strategic relationship between SenseTime and Honda, as no one had ever accomplished such sophisticated self-driving with only four cameras.
Jianping now is taking charge of the entire Intelligence Vehicle research group in SenseTime, trying to provide full autonomous driving solutions with deep learning in near future. “I feel very lucky to be working in the most exciting time period. I hope I can use my knowledge and effort to make a difference,” she said.