Cited by. "A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots." Verified email at stanford.edu. Transfer l r 4 4. Max Ferguson whistling for owls; art direction; words; about; splash & grab . 2018. Search for other works by this author on: This Site. “My preference is to work from life,” he writes. Max Ferguson Stanford University, Stanford, CA. Kai Wang, Shenzhen Institute of Advanced Technology. Raunak Bhinge, Raunak Bhinge Infinite Uptime, Inc., Berkeley, CA . Max Ferguson Department of Civil and Environmental Engineering Stanford University Stanford, CA, United States Email: maxferg@stanford.edu Abstract—In recent times, there has been a large amount of excitement surrounding the use of reinforcement learning systems for robot control and navigation. Ferguson is advised by Professor Kincho Law. In this paper, we describe how a data processing … Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. Cloud computing database structural health monitoring. 1. Max Ferguson Stanford University, Stanford, CA. AI for Machining, Assembly/Process Control and Optimization AI Enabled Manufacturing for Those Who Make … PubMed. Ferguson, Max Department of Civil and Environmental Engineering, Stanford University, Stanford, CA. Max Ferguson Department of Civil and Environmental Engineering Stanford University Stanford, CA, United States Email: maxferg@stanford.edu Abstract—In recent times, there has been a large amount of excitement surrounding the use of reinforcement learning systems for robot control and navigation. Computer Science Category - Kar98K; Jianfei Yang, Nanyang Technological University. In this project, we aim to leverage recent advances in computer vision to create a system for automatic detection of casting defects. Title. Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference . Then: Max Ferguson, Stanford University; Zac Yang, Solutions Engineering, Orbital Insight; Vica Bogaerts, World Bank, USA; Description. While recent advances in machine learning have made such a system feasible, the interactions between people and an … Ferguson was tabbed a first-team selection at second base while Pavolony garnered second-team honors at catcher. Google Scholar. In this role he works with faculty and colleagues to advance the School's corporate partnership programs, build long-term relationships with companies, and increase the flow of industry support to the School through gifts, affiliate memberships, and sponsored research. Year; An information modeling framework for bridge monitoring. The proposed defect detection system is based on the Mask R-CNN architecture [1]. Search for other works by this author on: This Site. Seongwoon Jeong, Seongwoon Jeong Stanford University, Stanford University, +2 more. Follow. Alumni: Dr. Jinkyoo Park Assistant … Update npm and node. Ferguson, Max, and Kincho Law. Max Ferguson Stanford University Stanford, CA, USA Kincho H. Law Stanford University Stanford, CA, USA Raunak Bhinge Infinite Uptime, Inc. Berkeley, CA, USA Yung-Tsun Tina Lee National Institute of Standards and Technology (NIST) Gaithersburg, MD, USA ABSTRACT The application of machine learning techniques in the manufacturing sector provides from the GDXray Castings dataset. Max Ferguson, maxkferg@stanford.edu, Amory Martin, amorym@stanford.edu Department of Civil & Environmental Engineering, Stanford University CS 229 Machine Learning - Final Project December 12, 2015 Abstract A classi cation algorithm is developed for evaluating the damage state of buildings subjected to earthquakes. These featurized images are passed into a Region Proposal Network, which selects 300 regions in the image that might contain defects. S Jeong, R … Han Zou, UC Berkeley. Ferguson, M, Law, KH, Bhinge, R, & Lee, YT. View the profiles of professionals named "Max Ferguson" on LinkedIn. Manufacturing Automated Inspection Dynamic Spatial Models. technique is applied to artificially increase the size of the Ferguson, Max, and Kincho Law. Search for other works by this author on: This Site. The page you requested cannot be found. Max Ferguson is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). Max Ferguson Promoting open and free access to computer technologies Palo Alto, California, United States 440 connections There are 40+ professionals named "Max Ferguson", who use LinkedIn to exchange information, ideas, and opportunities. Follow. We demonstrate that the system can be used to detect defects in a range of other defects in metal materials. Verified email at fb.com. "A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots." Update npm and node. Each of these regions are analyzed using a separate Region-based Detector. Then: 1 Max Ferguson is with Department of Civil and Environmen-tal Engineering, Stanford University, Stanford, CA 94305, USA maxferg@stanford.edu 2 Kincho H. Law is with the Faculty of the Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA law@stanford… Facilitating Dynamic Building Information Models with Mobile Robots. M. Ferguson, R. Ak, Y. T. Tina Lee, K. H. Law Join Facebook to connect with Max Ferguson and others you may know. Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. Research Overview Observed Problem: Having an accessible and constantly-updated digital model of a facility or construction site could lead to significant improvements in safety, energy efficiency and worker productivity. Research website for work at Stanford University. lifeline when things got tough. His research has focused on southern Africa (especially Lesotho, Zambia, South Africa, and Namibia), and has engaged a broad range of theoretical and ethnographic issues. View the profiles of people named Max Ferguson. Manufacturing Automated Inspection Dynamic Spatial Models. Max Ferguson from Christchurch completed a Master of Science degree in Civil Engineering, specialising in structural and geotechnical engineering, at Stanford University. However, for robots and autonomous systems to operate in effectively in … Start by cloning this repository and downloading the GDXray dataset. Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. Google Scholar. Rui Hou. The input to the system is a three-dimensional array of image pixels, in RGB. Faculty, Research Associates and Staff; Post-Docs and Research Students; Visiting Professors and Researchers Inspired by Edward Hopper, 17th-century Dutch genre painting, and the Old Masters, he produces studied paintings in oil or watercolor on canvas or wooden panel, which take two-to-four months to complete. New York City-born realist painter Max Ferguson focuses on the people, places, and urban scenes of his hometown. Current Role at StanfordJeff Gordon is the Associate Director of Corporate Relations in Stanford’s School of Engineering. 3 Viterbi School of Engineering, University of … Zhaoyang Zeng, Sun Yat-sen University. vwwong3@stanford.edu Max Ferguson Engineering Informatics Group Civil and Environmental Engineering Stanford University Stanford, United States maxferg@stanford.edu Kincho H. Law Engineering Informatics Group Civil and Environmental Engineering Stanford University Stanford, United States law@stanford.edu Yung-Tsun Tina Lee Systems Integration Division National … [Paper]. Seongwoon Jeong, Seongwoon Jeong Stanford University, Stanford, CA. Seongwoon Jeong. Max Ferguson was born on February 10, 1924 in Durham, England. Having an accessible and constantly-updated digital model of a facility or construction site could lead to significant improvements in safety, energy efficiency and worker productivity. Occasionally, when sensors become … 2018. Max Ferguson, Actor: Hulk. Sort. Max Ferguson Stanford University Verified email at stanford.edu. pixels on the shorter edge. Max Ferguson. M. Ferguson, R. Ak, S. Jeong and K. H. Law, "Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning", Smart and Sustainable Manufacturing Systems. A significant research effort has been directed at the problem of visual … [2] In 1926, with Max barely past his second birthday, the Ferguson family emigrated to Canada, departing from Cobh, Ireland on the 22nd May aboard the Minnedosa , and arriving in Montreal, Quebec on the 29th. Palo Alto, CA. His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. Robb Report Eye-popping, exciting, serious, and challenging. 2018 PEER Blind Prediction Contest Winning Teams and Individuals. Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)). Training on GDXray Casting Set # Python 3.6 python gdxray.py \ --dataset= … Automation in construction and facility management could significantly improve efficiency and productivity throughout the lifecycle of modern facilities. He was an actor and writer, known for Hulk (1966), Folio (1955) and Runaway Robots! Peng (Patrick) Sun Assistant Professor, CECE Department, University of Central Florida Verified email at ucf.edu. Search for other works by this author on: This Site. Stanford EIG Seongwoon Jeong Max Ferguson. Installation . In the last decade, the number of satellites orbiting the earth has increased significantly and high-resolution satellite imagery has become more accessible and affordable. E-mail: pparigi@stanford.edu. Quick Start. Friday 29 November, 11:00 – 12:30, Nicolae Balcescu Room . Max Ferguson - Research. PubMed. "Worksite Object Characterization for Automatically Updating Building Information Models. Automatic Localization of Casting Defects. 1 GAUSSIAN PROCESS REGRESSION (GPR) REPRESENTATION IN PREDICTIVE MODEL MARKUP LANGUAGE (PMML) Jinkyoo Park1, David Lechevalier2, Ronay Ak3, Max Ferguson4, Kincho Law4, Yung-Tsun Tina Lee3, and Sudarsan Rachuri5 Abstract: This paper describes Gaussian Process Regression (GPR) models presented in Predictive Model Markup Language (PMML). Each anchor is evaluated by the Region Proposal Network to determine if it is likely to contain a casting defect. Max Ferguson was born on the 10th February 1924, in Crook, Durham, England, the second son of William George (George) Ferguson and Isabella Frances (Isabel) née Finnegan. However, making accurate predictions from raw sensor data is still a difficult challenge. Next install the required packages: conda env create -f … Wentao Wang University of Michigan Verified email at umich.edu. Max Ferguson from Christchurch completed a Master of Science degree in Civil Engineering, specialising in structural and geotechnical engineering, at Stanford University. You may have used an out-dated link or typed the address (URL) incorrectly. Max Ferguson Stanford University Verified email at stanford.edu. Project Team: Kincho Law, Max Ferguson. Max Ferguson. Leticia Rosa dos Santos Cordeiro Ph.D. Student, Civil and Environmental Engineering E-mail: lrsc@stanford.edu. PubMed. Publications Port Magazine Splash & Grab Financial Times Magazine Financial Times Life & Arts Photoworks How To Spend It TenTen British Journal of Photography Huck. Professor, Anthropology James Ferguson is the Susan S. and William H. Hindle Professor in the School of Humanities and Sciences, and Professor in the Department of Anthropology. Max graduated with a BE (Hons) from the University of Canterbury in 2013. Max Ferguson, maxkferg@stanford.edu, Amory Martin, amorym@stanford.edu Department of Civil & Environmental Engineering, Stanford University CS 229 Machine Learning - Final Project December 12, 2015 Abstract A classi cation algorithm is developed for evaluating the damage state of buildings subjected to earthquakes. Max has 3 jobs listed on their profile. Max Ferguson Stanford University Verified email at stanford.edu. Articles Cited by Co-authors. Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)). Ferguson, Max, Seongwoon Jeong, and Kincho H. Law. Max Ferguson - Research. Max Ferguson Stanford University maxferg@stanford.edu Kincho Law Stanford University law@stanford.edu Abstract Automation in facility management and construction The Pacific Earthquake Engineering Research (PEER) Center organized the first image-based structural damage recognition competition, namely PEER Hub ImageNet (PHI) Challenge, which was held at the end of … IEEE Winter Conference on Applications of Computer Vision (WACV). echoes of a change three small pebbles everything must decay. A grid of anchors. Computer Vision Natural Language Processing Machine Learning … Title. This data augmentation Search for other works by this author … Mobile robot navigation using stochastic neural control in (a) … Max Ferguson. In this case, the model returns the coordinates of three bounding boxes containing defects. We use the ResNet-101 convolutional neural network to generate a featurized representation of input images. A significant research View Max Ferguson’s profile on LinkedIn, the world's largest professional community. Research website for work at Stanford University. images horizontally at training time. Sort by citations Sort by year Sort by title. Ferguson, Max, Seongwoon Jeong, and Kincho H. Law. James Ferguson is the Susan S. and William H. Hindle Professor in the School of Humanities and Sciences, and Professor in the Department of Anthropology. 2 Systems Integration Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA. Max Ferguson Stanford University, Stanford, CA. He previously taught for many years at the University of California, Irvine. Max graduated with a BE (Hons) from the University of Canterbury in 2013. IEEE Winter Conference on Applications of Computer Vision (WACV). Connor Pavolony and Max Ferguson – UT Baseball / Credit: UT Athletics. Getting Started . Ferguson is advised by Professor Kincho Law. Research Scientist, Facebook AI. At the same … I am ‘grateful as’ to my fellow Stanford Kiwis (and co.), for sharing in regular celebrations of New Zealand culture and for continuing to expose me to refreshing renditions of the New Zealand accent long after I lost my own: Thil Arachchi, Sam Corbett-Davies, Max Ferguson… If you entered the URL manually, please check your spelling and try again. The Offices of the Provost, the Dean of Humanities and Sciences, and the Dean of Research, Stanford University The SEP Library Fund: containing contributions from the National Endowment for the Humanities and the membership dues of academic and research libraries that … Law, Kincho H. His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. Stanford ENGINEERING Mentor: Ahmadreza Momeni Improving Mobile Robot Navigation with Deep Neural Robot Control JUNË.. 1891 Max Ferguson CS230 Deep Learning Navigation and Control with Deep Reinforcement Learning Introduction We propose a new method which combines reinforcement learning with traditional search- based path-planning, to solve long … 1 GAUSSIAN PROCESS REGRESSION (GPR) REPRESENTATION IN PREDICTIVE MODEL MARKUP LANGUAGE (PMML) Jinkyoo Park1, David Lechevalier2, Ronay Ak3, Max Ferguson4, Kincho Law4, Yung-Tsun Tina Lee3, and Sudarsan Rachuri5 Abstract: This paper describes Gaussian Process Regression (GPR) models presented in Predictive Model Markup Language (PMML). August dreams: three young hawks rise and fall. 25 Stanford. Start by cloning this repository and downloading the GDXray dataset. Search for other works by this author on: … Content may be subject to copyright. Cited by. Kincho H. Law, Kincho H. Law Stanford University, Stanford, CA. AI for Machining, Assembly/Process Control and Optimization AI Enabled Manufacturing for Those Who Make … Nonlinear response history analysis is used to … Max Ferguson Ph.D. Student, Civil and Environmental Engineering E-mail: maxferg@stanford.edu. Romie-O and Julie-8 (1979). Fine tuning & feature … Narayanan, Anantha Viterbi School of Engineering, University of Southern California, Los Angeles, CA. Kincho Law, Max Ferguson. Max Ferguson 1 , Yung-Tsun Tina Lee 2 , Anantha Narayanan 3 , Kincho H Law 1 Affiliations 1 Civil and Environmental Engineering, Stanford University, Y2E2 Building, 473 Via Ortega, Stanford, CA 94305, USA. Seongwoon Jeong. KNOXVILLE, Tenn. – Tennessee’s sophomore duo of Max Ferguson and Connor Pavolony earned preseason All-America honors by D1Baseball.com on Monday. Stanford ENGINEERING Mentor: Ahmadreza Momeni Improving Mobile Robot Navigation with Deep Neural Robot Control JUNË.. 1891 Max Ferguson CS230 Deep Learning Navigation and Control with Deep Reinforcement Learning Introduction We propose a new method which combines The output is a list of bounding box coordinates. ‪Stanford University‬ - ‪Cited by 141‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Manufacturing‬ The Region-based Detector returns the class of the defect, as well as the fine-tuned bounding box coordinates. Cloud computing database structural health monitoring. A pair of Tennessee baseball sophomores — second baseman Max Ferguson and catcher Connor Pavolony — were named Monday to D1Baseball.com's Preseason All-America Team. Articles Cited by Co-authors. Lee, Yung-Tsun Tina Systems Integration Division, National Institute of Standards and Technology, Gaithersburg, MD. PubMed. Additionally, we randomly flip the Stanford University. Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)) 10:45-11:05 AI for Machining, Assembly/Process Control and Optimization Part I AI Enabled … Quick Start. Seongwoon Jeong Ph.D. Student, Civil and Environmental Engineering E-mail: swjeong3@stanford.edu. Google Scholar. "A Generalized Method for Featurization of Manufacturing Signals, With Application to Tool Condition Monitoring." All content in this area was uploaded by Max Ferguson on Nov 27, 2018 . Google Scholar. First Place- Tokyo Electric Power Services Co., Ltd. - Yukio … PubMed. training dataset. Max Ferguson Research Assistant at Stanford University. A pair of Tennessee baseball sophomores — second baseman Max Ferguson and catcher Connor Pavolony — were named Monday to D1Baseball.com's Preseason All-America Team. Exhibitions New Wave Me, Upcoming My London, 2019 Peckham 24, 2019 Construction, 2019 Ferguson, ... No. Max Ferguson Engineering Informatics Group Civil and Environmental Engineering Stanford University Stanford, United States maxferg@stanford.edu Ronay Ak Systems Integration Division National Institute of Standards and Technology (NIST) Gaithersburg, United States ronay.ak@nist.gov Yung-Tsun Tina Lee Systems Integration Division National Institute of … Structural Engineering & Geomechanics PhD's Seongwoon Jeong and Max Ferguson (Stanford EIG) won the PHI Challenge in the Engineering Category. M. Ferguson1, R. Bhinge2, J. Park3, Y. T. Lee4, and K. H. Law1 Abstract With recent advances in sensor and computing technology, it is now possible to use real-time machine learning techniques to monitor the state of manufacturing machines. Stanford University. M. Ferguson, R. Ak, S. Jeong and K. H. Law, "Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning", Smart and Sustainable Manufacturing Systems. Quietly contemplative in the tradition of Hopper, but has a mysterious edge that is Ferguson's alone. Seongwoon Jeong*, Max Ferguson, Kincho H. Law Department of Civil and Environmental Engineering, Stanford University Stanford, CA 94305, USA ABSTRACT With advances in sensing and communication technologies, engineering systems are now commonly instrumented with sensors for system monitoring and management. The output of the defect detection system. Follow. School of Earth, Energy and Environmental Sciences, Freeman Spogli Institute for International Studies, Institute for Computational and Mathematical Engineering (ICME), Institute for Human-Centered Artificial Intelligence (HAI), Institute for Stem Cell Biology and Regenerative Medicine, Stanford Institute for Economic Policy Research (SIEPR), Stanford Woods Institute for the Environment, Office of VP for University Human Resources, Office of Vice President for Business Affairs and Chief Financial Officer. Kincho H. Law, Kincho H. Law Stanford University, Stanford, CA. Automatic Localization of Casting Defects using Convolutional Neural Networks 1 Max Ferguson is with Department of Civil and Environmen-tal Engineering, Stanford University, Stanford, CA 94305, USA maxferg@stanford.edu 2 Kincho H. Law is with the Faculty of the Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA law@stanford.edu Fig. 27 Methodology • Transfer Learning ResNet [He et al., 2015] Shetland sheepdog Tiger cat Steel arch bridge conv2_x 3x3 conv, 64 conv3_x 3x3 conv, 128 conv4_x conv1 l 3x3 conv, 256 conv2_x 3x3 conv, 64 conv3_x 3x3 conv, 128 conv4_x 3x3 conv, 256 conv5_x conv1 l 3x3 conv, 512 0 3. Max Ferguson (2) INF - CAREER HIGHS Runs Scored: 2 (5x) // last vs. Houston, 2/22/20 Hits: 2 (9x) // last vs. ETSU, 3/10/20 Doubles: 1 (3x) // last His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. Google Scholar. info@max-ferguson.co.uk Instagram: @maxferguson. preprocessing to the images at training or testing time. The site facilitates research and collaboration in academic endeavors. We do not apply any other form of Ferguson is advised by Professor Kincho Law. The input image can have any size, but we choose to resize the image to have a maximum side length of 600 px. Search for other works by this author on: This Site. Verified email at stanford.edu. He died on March 7, 2013 in Toronto, Ontario, Canada. "Worksite Object Characterization for Automatically Updating Building Information Models. Images are scaled to 600 Max Ferguson, Stanford. 2019. We train and test the Faster R-CNN model using the images 2019. In this project, we aim to leverage recent advances in computer vision to create a system for automatic detection of casting defects. Stanford University, +1 more. , England the URL manually, please check your spelling and try.... Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information Engineering! 300 regions in the image that might contain defects spelling and try again when sensors become … Max Ferguson for! 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