קולוקוויום וסמינרים

כדי להצטרף לרשימת תפוצה של קולוקוויום מדעי המחשב, אנא בקר בדף מנויים של הרשימה.


Computer Science events calendar in HTTP ICS format for of Google calendars, and for Outlook.

Academic Calendar at Technion site.

קולוקוויום וסמינרים בקרוב

  • CGGC Seminar: Volumetric T-spline Parameterization for Isogeometric Analysis

    דובר:
    יונג'י ג'סיקה זאנג (אונ' קרנגי מלון)
    תאריך:
    יום ראשון, 29.5.2016, 15:00
    מקום:
    טאוב 401

    As a new advancement of traditional finite element method, isogeometric analysis (IGA) was proposed to integrate design and analysis. In this talk, I will present our latest research on volumetric T-spline parameterization for IGA applications. For arbitrary-topology objects, we first build a polycube whose topology is equivalent to the input geometry and it serves as the parametric domain for the following trivariate T-spline construction. Boolean operations, geometry skeleton and centroidal Voronoi tessellation based surface segmentation can also be used to build polycubes with surface features preserved. A parametric mapping is then used to build a one-to-one correspondence between the input geometry and the polycube boundary. After that, we choose the deformed octree subdivision of the polycube as the initial T-mesh, and make it valid through pillowing, quality improvement, and applying templates or truncation mechanism couple with subdivision to handle extraordinary nodes. Weighted and truncated T-spline basis functions are derived to satisfy the requirements of analysis-suitable T-splines, including partition of unity and linear independence. The parametric mapping method has been further extended to conformal solid T-spline construction with the input surface parameterization preserved, and also been incorporated into commercial software such as Rhino and Abaqus.

    Bio:
    Yongjie Jessica Zhang is an Associate Professor in Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in Biomedical Engineering. She received her B.Eng. in Automotive Engineering, and M.Eng. in Engineering Mechanics, all from Tsinghua University, China, and M.Eng. in Aerospace Engineering and Engineering Mechanics, and Ph.D. in Computational Engineering and Sciences from the University of Texas at Austin. Her research interests include computational geometry, mesh generation, computer graphics, visualization, finite element method, isogeometric analysis and their application in computational biomedicine, material sciences and engineering. She has co-authored over 130 publications in peer-reviewed journals and conference proceedings. She is the recipient of Presidential Early Career Award for Scientists and Engineers, NSF CAREER Award, Office of Naval Research Young Investigator Award, USACM Gallagher Young Investigator Award, Clarence H. Adamson Career Faculty Fellow in Mechanical Engineering, George Tallman Ladd Research Award, and Donald L. & Rhonda Struminger Faculty Fellow.

  • Pixel Club: Joint Embeddings of Shapes and Images via CNN Image Purification

    דובר:
    יאנגיאן לי (אונ' תל_אביב)
    תאריך:
    יום שלישי, 31.5.2016, 11:30
    מקום:
    חדר 1061, בניין מאייר, הפקולטה להנדסת חשמל

    Both 3D models and 2D images contain a wealth of information about everyday objects in our environment. However, it is difficult to semantically link together these two media forms, even when they feature identical or very similar objects. Real-world images are naturally variable in a number of characteristics such as viewpoint, lighting, background elements, and occlusions. This variability makes it challenging to match images with each other, or with 3D shapes. We propose a joint embedding space populated by both 3D shapes and 2D images, where the distance between embedded entities reflects the similarity between the underlying objects represented by the image or 3D model, unaffected by all the aforementioned nuisance factors. This joint embedding space facilitates comparison between entities of either form, and allows for cross-modality retrieval. We construct the embedding space using an all-pairs 3D shape similarity measure, as 3D shapes are more pure and complete than their appearances in images, leading to more robust distance metrics. We then employ a Convolutional Neural Network (CNN) to "purify" images by muting the distracting factors. The CNN is trained to map an image to a point within the embedding space, such that it is close to a point attributed to a 3D model of a similar object to the one depicted in the image. This purifying capability of the CNN is accomplished with the help of a large amount of training data consisting of images synthesized from 3D shapes. Our deep embedding brings 3D shapes and 2D images into a joint embedding space, where cross-view image retrieval, image-based shape retrieval, as well as shape-based image retrieval tasks are all naturally supported. We evaluate our method on these retrieval.

  • יום מחקר 2016 בפקולטה למדעי המחשב

    CS RESEARCH DAY 2016

    תאריך:
    יום שלישי, 31.5.2016, 15:30
    מקום:
    בניין טאוב למדעי המחשב

    יום המחקר השישי לתארים מתקדמים בפקולטה למדעי המחשב יתקיים ביום שלישי, 31 במאי 2016, בין השעות 14:30-16:30, בלובי של בניין טאוב למדעי המחשב.

    אירועי יום מחקר הם הזדמנות עבור משתלמי הפקולטה להציג את מחקריהם באמצעות פוסטרים ומצגות בפני אנשי סגל ומנהלים בכירים בטכניון ותלמידים לכל התארים בפקולטה, כמו גם בפני נציגים רמי-דרג מחברות מובילות בתעשייה העילית בארץ ובעולם.

    המחקרים המשתתפים ביום המחקר יהיו בנושאים שונים: תיאוריה של מדעי המחשב, מערכות, בינה מלאכותית, מערכות נבונות וחישוב מדעי וביואינפורמטיקה.

    ההשתתפות באירוע אינה כרוכה בתשלום אך דורשת הרשמה מוקדמת.

    פרטים נוספים והרשמה.

    כולם מוזמנים.

  • Intel@Technion Lectures: Game Changing Design

    דובר:
    שלומית וייס (אינטל)
    תאריך:
    יום רביעי, 1.6.2016, 11:30
    מקום:
    חדר 337, בניין טאוב למדעי המחשב

    produce design developed in through the years in many fronts and requirements. Today SOC products require aggressive targets in all fronts: frequency, performance, low cost, low power…… To address those new and growing requirement there needs to be a basic change in the design concept and solutions. Working in parallel convergence, parallel fronts and analyze tradeoffs together is the approach used to being the best SOC products to the market. This talk is describing the challenge and principals in applying the new approach.

    Short bio:
    Shlomit Weiss, VP Data Center Group – General Manager Silicon Development Networking Group, Intel. In her previous role Shlomit was GM of Client Products Development responsible design of all Client SOC products. In her role managed a cross site organization of about 650 people. Between the products designed and developed in the organization 6th generation “Core names Best processor Ever”. She is based in Intel Israel, has been at Intel since 1989, with a third of her time in different positions in the US. In her career at Intel Weiss has worked in various projects starting in validation, design, cluster manager, and architecture. Previously Weiss managed the architecture of the Intel® Core™ 2 Duo processor definition receiving an Intel Achievement Award, one of most prestigious Intel awards, for the architecture of that CPU. Weiss earned her master's degree cum laude in computer engineering from Technion in Haifa, Israel. In her limited free time, Shlomit enjoys traveling, folk dancing and spending time with her family.

  • Sidecore Managment for Virtualized Environments

    דובר:
    אייל מושקוביץ, הרצאה סמינריונית למגיסטר
    תאריך:
    יום רביעי, 1.6.2016, 12:30
    מקום:
    טאוב 601
    מנחה:
    Prof. D. Tsafrir

    Virtualization is the ability of modern computer systems to run guest Virtual Machines (VMs). The VM host exposes various I/O devices to its guests such as the Network Interface Controller (NIC), hard disk, etc. Para-virtual I/O is a common technique for presenting the guest VM with an interface similar, but not identical, to the underlying hardware. Such interfaces are called virtual I/O devices, and their behavior is emulated by the VM host. This emulation must be scalable, must be able to handle high throughput I/O workloads, and must not consume system resources during periods of low throughput. Today there are two leading approaches: traditional paravirtual I/O and sidecores. In the traditional approach VM guests experience performance degradation while handling high-throughput I/O workloads. On the other hand, the sidecore approach always consumes a set amount of system re- sources which are wasted during low-throughput I/O workloads. This work explores a dynamic virtual I/O device management design that improves system utilization by combining the two. We present SidecoreM which uses an I/O manager to dynamically deter- mine the preferred approach based on the current I/O load. To this end we first modeled the system under varying I/O workloads, then implemented the I/O manager based on the model. Evaluation of our design under Linux shows that SidecoreM is able to find the optimum configuration in all cases tested but one. While searching for the optimum configuration we degrade performance by at most 6% com- pared to a statically tuned system. SidecoreM shows up to 2.2x performance gain over the traditional approach. SidecoreM incurs 280us of overhead per second during normal operation, and a few milliseconds when changing the configuration of the system.

  • CGGC Seminar: 2D Simulation and Mapping using the Cauchy-Green Complex Barycentric Coordinates

    דובר:
    אביב סגל (מדעי המחשב, טכניון)
    תאריך:
    יום ראשון, 5.6.2016, 13:30
    מקום:
    טאוב 401

    Conformal maps are especially useful in geometry processing for computing shape preserving deformations, image warping and manipulating harmonic functions. The Cauchy-Green coordinates are complex-valued barycentric coordinates, which can be used to parameterize a space of conformal maps from a planar domain bounded by a simple polygon. In this work, we use the Cauchy-Green coordinates to simulate 2D potential flow with interactive control, and to construct conformal maps between planar domains.

    The Hele-Shaw flow describes the slow flow of a viscous liquid between two parallel plates separated by a small gap. In some configurations such a flow generates instabilities known as Saffman-Taylor fingers, yielding intricate visual patterns which have been an inspiration for artists, yet are quite difficult to simulate efficiently. Formulating the equations with our framework allows us to efficiently simulate the flow and to provide the user with interactive control over the behavior of the fingers. Additionally, we show that the Cauchy-Green coordinates are applicable to the exterior of the domain, and use them for simulating two fluids with different viscosities.

    The Riemann mapping theorem guarantees that there exists a conformal map between any two simply connected planar domains, yet computing this map efficiently is challenging. One of the main challenges is finding the boundary correspondence between the two domains. We use the Cauchy-Green coordinates for parameterizing the space of conformal maps from the source domain, and propose an alternating minimization algorithm for constructing a boundary-approximating conformal map, which implicitly finds a boundary correspondence. We enrich the space of solutions by generalizing the setup to quasi-conformal maps, and allow the user to interactively control the result using point-to-point and stroke-to-stroke constraints. Finally, we show applications to stroke based deformation and constrained texture mapping.

  • 2D Simulation and Mapping using the Cauchy-Green Complex Barycentric Coordinates

    דובר:
    אביב סגל, הרצאה סמינריונית למגיסטר
    תאריך:
    יום ראשון, 5.6.2016, 13:30
    מקום:
    טאוב 401
    מנחה:
    Prof. Mirela Ben-Chen

    Conformal maps are especially useful in geometry processing for computing shape preserving deformations, image warping and manipulating harmonic functions. The Cauchy-Green coordinates are complex-valued barycentric coordinates, which can be used to parameterize a space of conformal maps from a planar domain bounded by a simple polygon. In this work, we use the Cauchy-Green coordinates to simulate 2D potential flow with interactive control, and to construct conformal maps between planar domains. The Hele-Shaw flow describes the slow flow of a viscous liquid between two parallel plates separated by a small gap. In some configurations such a flow generates instabilities known as Saffman-Taylor fingers, yielding intricate visual patterns which have been an inspiration for artists, yet are quite difficult to simulate efficiently. Formulating the equations with our framework allows us to efficiently simulate the flow and to provide the user with interactive control over the behavior of the fingers. Additionally, we show that the Cauchy-Green coordinates are applicable to the exterior of the domain, and use them for simulating two fluids with different viscosities. The Riemann mapping theorem guarantees that there exists a conformal map between any two simply connected planar domains, yet computing this map efficiently is challenging. One of the main challenges is finding the boundary correspondence between the two domains. We use the Cauchy-Green coordinates for parameterizing the space of conformal maps from the source domain, and propose an alternating minimization algorithm for constructing a boundary-approximating conformal map, which implicitly finds a boundary correspondence. We enrich the space of solutions by generalizing the setup to quasi-conformal maps, and allow the user to interactively control the result using point-to-point and stroke-to-stroke constraints. Finally, we show applications to stroke based deformation and constrained texture mapping.

  • CGGC Seminar: A B-spline based Framework for Volumetric Object Modeling

    דובר:
    פאדי מצארווי (מדעי המחשב, טכניון)
    תאריך:
    יום שני, 13.6.2016, 14:00
    מקום:
    חדר 337, בניין טאוב למדעי המחשב

    This work extends a recently proposed robust computational framework for constructing the boundary representation (B-rep) of the volume swept by a given smooth solid moving along a one parameter family h of rigid motions. Our extension allows the input solid to have sharp features, and thus it is a significant and useful generalization of that work. This naturally requires a precise description of the geometry of the surface generated by the sweep of a sharp edge supported by two intersecting smooth faces. We uncover the geometry along with the related issues like parametrization and singularities via a novel mathematical analysis. Correct trimming of such a surface is achieved by an analysis of the interplay between the cone of normals at a sharp point and its trajectory under h. The overall topology is explained by a key lifting theorem which allows us to compute the adjacency relations amongst entities in the swept volume by relating them to corresponding adjacencies in the input solid. Moreover, global issues related to body-check such as orientation, singularities and self-intersections are efficiently resolved. Examples from a pilot implementation illustrate the efficiency and effectiveness of our framework.

    This work is jointly done with Prof. Milind Sohoni and Prof. Bharat Adsul at IIT Bombay, India.

  • Understanding Word Embeddings

    דובר:
    Omer Levy - CS-Lecture -
    תאריך:
    יום חמישי, 16.6.2016, 15:00
    מקום:
    חדר 337-8 טאוב.
    קישור:
    http://www.cs.technion.ac.il/~colloq/20160616_15_00_Levy.html