Our PhD student Jie Xu will present his latest work "Learning to Fly: Computational Controller Design for Hybrid UAVs with Reinforcement Learning" at SIGGRAPH 2019 this summer. In this paper, Jie proposed a novel neural network controller design for hybrid UAVs, an aerial robot that is challenging to control due to its complex aerodynamic effects. His method allows us to directly apply a controller trained in simulation to real hybrid UAV hardware without any modification. Checkout his website and the project page to find more!
Alex and Tae-Hyun's latest paper on neural inverse knitting is accepted to ICML 2019. In this paper, they introduce the new problem of automatic machine instruction generation using a single image of the desired physical product. Check out the project page to learn more about the way they tackle the problem and see a dataset of real knitting samples!
After spending one and a half wonderful years in our lab, our very own Postdoctoral researcher, Tae-Hyun Oh, joined Faceboook AI Research, Cambridge, MA, which is located across the street. During his stay at MIT, Tae-Hyun has contributed to a wide range of research projects, including Motion Magnification, Soft Segmentation, Speech2Face, and Inverse Knitting. Congratulations to Tae-Hyun, and wish him the best of luck in the future!
Yuanming's latest paper ChainQueen was accepted to ICRA 2019. In this paper, he presented a differentiable deformable body simulator that opens up lots of possibilities for efficient controller and geometry design algorithms in robotics. Check out this video to see what amazining work can be done using his simulator!
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!
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