3/28 (Thursday 10:00 ~ 12:00)

Innovation Forums: The Latest Advances in Computer Vision & Its Applications

  • The forum will be held at 10:00 - 12:00 on 03/28 (Thursday)

  • Moderator: Ting Yu

    Mei Han
    Director of PingAn AI Institues
    Talk Title: Computer Vision R&D at PingAn Technology

    In this talk, I’ll describe the research and development efforts in Computer Vision area at PingAn Technology, especially US Research Labs. Our projects span over the application areas of Smart City, Agriculture Supervision, Pedestrian Behavior Analysis, Medical Image Segmentation, AI Painting and beyond. I’d share my experiences of applying the technologies to making impacts to businesses, and advancing the technologies in the research community.

    Mei Han is the director of PingAn AI Institues. Her research fields are in the areas of video analysis, visual tracking, object detection, geometric modeling, image processing, computer vision and machine learning. Prior to joining PAII, she held the position of research scientist at Google and research staff member at NEC Labs America. Technologies developed by Dr. Han and her colleagues are at the core of the company Vidient's innovative surveillance products. Mei Han holds Doctorates in Robotics and Computer Science from Carnegie Mellon University and Tsinghua University.

    Jason Xu
    Director of DiDi Labs
    Talk Title: Augmenting Reality with Computer Vision Technologies

    Augmented Reality is an interactive experience where real-world objects are "augmented" with computer-generated virtual contents. While in general multiple senses e.g. haptics or olfaction could be involved, in most common applications AR refers to visually augmenting the surrounding world, which is realized through certain display devices such as AR eyewear or a mobile phone. Under its hood, AR is powered by a collection of technologies, among which computer vision plays an especially important role. In fact, AR is a very unique application of computer vision because both semantic and geometric understanding are of significant interest here. Semantic vision techniques like deep learning are employed to perceive what the user is looking at, in order to present the most relevant information. On the other hand, geometric vision algorithms such as SLAM are required to precisely localize the AR device, so as to render the virtual objects in a way that is geometrically consistent with the physical ones. In this talk we will dive into AR, tour through a variety of computer vision technologies being used in practical AR systems, and explore the interesting applications enabled by them.

    Dr. Jason Xu is a Director at DiDi Labs and Head of Augmented Reality, leading a multinational R&D team dedicated to exploring the frontier applications of AR in intelligent vehicles and transportation systems. Jason is a seasoned technology leader in computer vision and artificial intelligence, with more than 20 US/EU patents awarded or pending. Before joining DiDi he was the Senior Director in charge of visual recognition R&D and AI strategies at Blippar, a leading AR advertising and visual discovery platform. Prior to that, Jason was a Research Manager at Sony Research and the director of its computational intelligence lab, leading the R&D of machine learning technologies supporting a variety of Sony products, including video encoding and analysis, audio processing, and wearable computing etc. Earlier in his career, Jason worked at renowned research labs including Siemens, Google and Microsoft, on R&D projects in medical imaging, image search and multimedia communication etc. Jason received his Ph.D. degree from the University of Illinois at Urbana-Champaign (UIUC) working with Prof. Thomas S. Huang. His master and bachelor degrees were both earned at Tsinghua University, Beijing, China.

    Ming-Hsuan Yang
    Research Lead of Google Cloud AI
    Talk Title: Transferring Styles in Images and Videos


    Ming-Hsuan Yang is a senior staff research scientist at Google Cloud and a professor in Electrical Engineering and Computer Science at University of California, Merced. He received the PhD degree in Computer Science from the University of Illinois at Urbana-Champaign in 2000. He serves as an area chair for several conferences including IEEE Conference on Computer Vision and Pattern Recognition, IEEE International Conference on Computer Vision, European Conference on Computer Vision, Asian Conference on Computer, and AAAI National Conference on Artificial Intelligence. He serves as a program co-chair for IEEE International Conference on Computer Vision in 2019 as well as Asian Conference on Computer Vision in 2014, and general co-chair for Asian Conference on Computer Vision in 2016. He serves as an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Computer Vision and Image Understanding, Image and Vision Computing, and Journal of Artificial Intelligence Research. Yang received the Google Faculty Research Award in 2009, and the Distinguished Early Career Research Award from the UC Merced senate in 2011, the Faculty Early Career Development (CAREER) award from the National Science Foundation in 2012, and the Distinguished Research Award from UC Merced Senate in 2015, Highly Cited Researcher from Clarivate Analytics in 2018. He receives best paper awards from UIST, ACCV, and CVPR. He is an IEEE Fellow.

    Dashan Gao
    Co-Founder and CTO of 12 Sigma Technologies
    Talk Title: Incorporating Deep Learning for Medical Diagnosis

    Recent years have seen the thrive of computer vision in medical image analysis. Deep learning-based algorithms have made breakthroughs in disease screening, diagnosis, and treatment, and have achieved close to human expert performance in many areas, such as lung and breast cancer screening, stroke analysis, retinal diseases detection. In this talk, we will review the latest applications of computer vision and deep learning in medical image diagnosis and discuss the latest CNN architectures and their superior performance in solving challenging medical problems. We will also present some deep learning-based products being developed at 12 Sigma Technologies.

    Dr. Dashan Gao is the Co-Founder and CTO of 12 Sigma Technologies, a well-funded start-up company focused on bringing artificial intelligence and deep learning into modern medical image diagnosis and data analytics. Dr. Gao has 20 years of academic and industrial experiences in the fields of computer vision, machine learning and biomedical imaging. Prior to 12 Sigma, Dr. Gao was a Senior Staff Engineer at Qualcomm, and before that was a Lead Research Scientist at GE Global Research Center. Dr. Gao owns more than 40 US and international patents. Dr. Gao held Bachelor’s and Master’s degrees from Tsinghua University, and obtained his PhD degree from University of California, San Diego.