Liang Shi's Siggraph Asia paper: Deep Multispectral Painting Reproduction via Multi-Layer, Custom-Ink Printing, has been covered by lots of media outlets including TechCrunch, Forbes 1, Forbes 2, Fast Company, Engadget, The Telegraph, WIRED Italy, Daily Mail, MIT News, 3D Printing Media Network, MIT Sloan Management Review, New Atlas, and many more! Please check out his website for paper and data, or come to his talk if you are also at Siggraph Asia this week!
Our group will present three papers at SIGGRAPH ASIA 2018 in Tokyo this December: Narrow-Band Topology Optimization on a Sparsely Populated Grid, InverseCSG: Automatic Conversion of 3D Models to CSG Trees, and Deep Multispectral Painting Reproduction via Multi-Layer, Custom-Ink Printing. Congratulations to Yuanming Hu, Tao Du, and Liang Shi!
Three papers from our group have been accepted to ECCV this year: Learning-Based Video Motion Magnification, A Dataset Of Flash And Ambient Illumination Pairs From The Crowd, and Learning To Zoom: A Saliency-Based Sampling Layer For Neural Networks. More details will be available soon!
Our PhD student Subramanian Sundaram successfully defended his PhD thesis "3D-printing Form and Function" this morning. His thesis committee members are Prof. Wojciech Matusik, Prof. Marc Baldo, and Prof. Vladimir Bulovic. Congratulations to Dr. Sundaram and wish him all the best in his future endeavors!
Adriana Schulz, who recently defended her PhD thesis in our group, will present her work Interactive Exploration of Design Trade-Offs at SIGGRAPH 2018. In this paper, Adriana and her coauthors presented a new method to interactively explore the Pareto front in the performance space of a design problem. This is joint work with Professor Eitan Grinspun at Columbia University and Professor Justin Solomon at MIT CSAIL.
Yagiz Aksoy, a former visiting student in our group, will present his latest work Semantic Soft Segmentation at SIGGRAPH 2018. In this work, they introduced semantic soft segments, a set of layers that correspond to semantically meaningful regions in an image with accurate soft transitions between different objects. This is joint work with Sylvain Paris at Adobe Research and Professor Marc Pollefeys at ETH Zurich.
Congratulations to them and looking forward to their presentations at SIGGRAPH!
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