- 11
- 19 500
Symposium on Geometry Processing 2021
Netherlands
Приєднався 8 чер 2020
The Eurographics Symposium on Geometry Processing (SGP) is the premier venue for disseminating new research ideas and cutting-edge results in Geometry Processing . In this research area, concepts from mathematics, computer science, and engineering are studied and applied to offer new insights and design efficient algorithms for acquisition, modeling, analysis, manipulation, simulation and other types of processing of 3D models and shape collections.
This channel disseminates the talks provided virtually for SGP 2020.
This channel disseminates the talks provided virtually for SGP 2020.
SGP 2021 Keynote: Lining Yao
sgp2021.github.io/program/
Lining Yao
Carnegie Mellon University
Computing Morphing Matter: the Marriage of Geometry and Hidden Forces
Morphing Matter is an interplay of geometry and hidden forces. Lining Yao, the director of Morphing Matter Lab, will share her team's experiences of computing, designing, and fabricating morphing mechanisms that leverage both geometrical and physical knowledge of materials. Lining will unfold a few marriages of geometry and forces in the talk: a conformal map interconnecting beams shrinking and fighting for the lowest entropy, a frustum-shaped groove interfering disks swelling with differential diffusion rate, and a triangulated filler path affecting spacer fabric deforming with biased shear forces. Novel morphing mechanisms and applications also come from these marriages, such as self-assembling furniture, crawling soft robots, and morphing pasta.
Lining Yao is an Assistant Professor of Human-Computer Interaction Institute at Carnegie Mellon University (CMU), School of Computer Science, directing the Morphing Matter Lab. Lining also holds courtesy appointments at Mechanical Engineering and Material Sciences and Engineering at CMU. Morphing Matter lab develops processes, materials, tools, and applications of adaptive, dynamic, and intelligent morphing matter from nano to macro scales. Research often combines material science, computational fabrication, and creative design practices. The mission is to advance both science and society with the design of morphing matter. Lining and her lab work anti-disciplinarily, publishing and exhibiting across science, engineering, design, and art. Lining gained her Ph.D. from the MIT Media Lab. She is a Wired UK fellow, CMU Provost's Inclusive Teaching Fellow, and a recipient of the NSF CAREER Award.
Lining Yao
Carnegie Mellon University
Computing Morphing Matter: the Marriage of Geometry and Hidden Forces
Morphing Matter is an interplay of geometry and hidden forces. Lining Yao, the director of Morphing Matter Lab, will share her team's experiences of computing, designing, and fabricating morphing mechanisms that leverage both geometrical and physical knowledge of materials. Lining will unfold a few marriages of geometry and forces in the talk: a conformal map interconnecting beams shrinking and fighting for the lowest entropy, a frustum-shaped groove interfering disks swelling with differential diffusion rate, and a triangulated filler path affecting spacer fabric deforming with biased shear forces. Novel morphing mechanisms and applications also come from these marriages, such as self-assembling furniture, crawling soft robots, and morphing pasta.
Lining Yao is an Assistant Professor of Human-Computer Interaction Institute at Carnegie Mellon University (CMU), School of Computer Science, directing the Morphing Matter Lab. Lining also holds courtesy appointments at Mechanical Engineering and Material Sciences and Engineering at CMU. Morphing Matter lab develops processes, materials, tools, and applications of adaptive, dynamic, and intelligent morphing matter from nano to macro scales. Research often combines material science, computational fabrication, and creative design practices. The mission is to advance both science and society with the design of morphing matter. Lining and her lab work anti-disciplinarily, publishing and exhibiting across science, engineering, design, and art. Lining gained her Ph.D. from the MIT Media Lab. She is a Wired UK fellow, CMU Provost's Inclusive Teaching Fellow, and a recipient of the NSF CAREER Award.
Переглядів: 911
Відео
SGP 2021 Keynote: Geoffrey Hinton
Переглядів 3,4 тис.3 роки тому
sgp2021.github.io/program/ Geoffrey Hinton University of Toronto/Google Research How to represent part-whole hierarchies in a neural net I will present a single idea about representation which allows advances made by several different groups to be combined into an imaginary system called GLOM. The advances include transformers, neural fields, contrastive representation learning, distillation an...
SGP 2021 Keynote: Bradley Rothenberg
Переглядів 7653 роки тому
sgp2021.github.io/program/ Bradley Rothenberg CEO, nTopology Engineering-driven design: a new foundation nTopology (nTop) solves some of the most difficult problems in shape design, especially those emerging due to additive manufacturing. In doing so, nTop enables new processes for design it empowers engineers to design parts that are impossible with older software. To achieve these goals, we u...
SGP 2021 Graduate School - Digital Geometry - David Coeurjolly, Jacques-Olivier Lachaud
Переглядів 8313 роки тому
Digital Geometry is about the processing of topological and geometrical objects defined in regular lattices (e.g. collection of voxels in 3d). Whereas representing quantities on regular, hierarchical or adaptive grids is a classical approach to spatially discretize a domain, processing the geometry of such objects requires us to revisit classical results from continuous or discrete mathematics....
SGP 2021 Graduate School - Directional Field Processing - Amir Vaxman
Переглядів 1 тис.3 роки тому
Directional fields are core objects of geometry processing. They represent movement, flow, alignment, or geometric transformations. Their applications range from fluid simulation, through architectural design, to mesh generation. We will discuss the theoretical and empirical challenges in representing and discretizing directional fields on surfaces and in volumes, and some of their desired prop...
SGP 2021 Graduate School - Deep Learning on Meshes - Rana Hanocka
Переглядів 6 тис.3 роки тому
The irrefutable success of deep learning on structured data (such as images and text) has sparked significant interest in its applicability to problems in geometry processing. In this talk, we will discuss the key challenges and current solutions for using mesh convolutional neural networks on the unstructured mesh representation for problems in geometry processing. We will outline the design c...
SGP 2021 Graduate School - Projective Dynamics/Simulation - Tiantian Liu
Переглядів 3,7 тис.3 роки тому
Physically-based simulations have been used more and more in recent interactive applications. In this talk, we will cover the key ideas we have been using to accelerate our simulations, utilizing the geometric information of the simulated objects. We will start from Projective Dynamics, an acceleration method to simulate mass-spring systems, and some simple finite element models such as the as-...
SGP 2020 Graduate School: Fabrication-aware Design
Переглядів 9304 роки тому
SGP 2020 Graduate School: Fabrication-aware Design
Amaazinggggg... Instead of looking at the challenges in Mesh representation, you've actually taken it to your advantage!
👉🔔🔔👍👍🔥👍👌👌
neat! thank you for sharing
There have been 100's of Neural Network (NN) variants developed globally by many, many researchers over the past 50-60 years, i.e. back-propagation, counter-propagation, conjugate gradient, genetic NNs, LSTM, LAMSTAR, DSN, SVM, RBM, HDP, DPCN, RBN, TDNN, and on, and on, just to name a few. "DEEP LEARNING" is yet another minor variant recognized under the more general label "Multi-layered Neural Networks". Perhaps slightly more efficient than some, less efficient than others, and very much dependent upon promotion, funding, and related motives. Quite intrigued by the latest "DEEP LEARNING" boondoggle promoted by Hinton and his Canadian backers. Appears to me... little more than academic fraud, promoted to the Nth degree !
Great tech......!
I imagined four corners suspended halfway up in space, doh
Is the chat recorded anywhere? Looking for the sites mentioned.
the volume is really really low