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Spring 2018 GRASP Seminar Series: Hao Su, UCSD, “3D Deep Learning: The Past and Future”

February 23, 2018 @ 11:00 am - 12:00 pm


Deep learning has recently gained popularity achieving state-of-the-art performance in tasks involving text, sound, or image processing. Due to its outstanding performance, there have been efforts to apply it in more challenging scenarios, for example, 3D data processing. In this talk, I will give an overview of the progress in 3D deep learning based upon my own work, covering a broad range of topics including 3D recognition, 3D reconstruction from single images, novel-view synthesis, 3D shape space learning, 3D shape completion, etc. Based upon the overview of the current progress, I will also project a few possible directions to push the field forward, by putting it in the perspective of generic AI. 


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Hao Su has been in UC San Diego as Assistant Professor of Computer Science and Engineering since July 2017. He is affiliated with the Contextual Robotics Institute and Center for Visual Computing. He served on the program committee of multiple conferences and workshops on computer vision, computer graphics, and machine learning. He is the Program Chair of 3DV’17, Publication Chair of 3DV’16, and chair of various workshops at CVPR, ECCV, and ICCV. He is also invited as keynote speakers at workshops and tutorials in NIPS, 3DV and CVPR, S3PM, etc.

Professor Su is interested in fundamental problems in broad disciplines related to artificial intelligence, including machine learning, computer vision, computer graphics, robotics, and smart manufacturing. He is particularly interested in deep learning for 3D data understanding and interconnecting 3D data with other modalities such as images and texts. Professor Su is leading the construction of ShapeNet, a large-scale 3D-centric knowledge base of objects, and used to work on ImageNet, a large-scale 2D image database. Applications of Su’s research include robotics, autonomous driving, virtual/augmented reality, smart manufacturing, etc. He has published over 30 papers in top conferences and journals in computer vision, computer graphics, machine learning, and social networks.


February 23, 2018
11:00 am - 12:00 pm
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