The ultimate facialrecognition algorithm the atlantic. Seitz developed the software with ira kemelmachershlizerman, an assistant professor of computer science and engineering at the university. Jul 21, 2016 kemelmachershlizerman and her team previously developed automated age progression software that focused only on a persons face. Go to project page for additional details and results. Vr capstone class university of washington youtube. Driven by computer vision and deep learning techniques, a new wave of imaging attacks has recently emerged which allows anyone to easily create highly realistic fake videos. Ira kemelmacher in pursuing the beauty of computer science. The text contains numerous highlights offering practical advice, authoritative figures you can cite to customers and higher management, and entertaining anecdotes to share with coworkers although some sections need updating, i still think it is a valuable training and reference source for software testers, managers, and developers. Curless and steve seitz and ira kemelmacher shlizerman. It will also create a csv to be used by the training dataloader. New photo software can morph faces like michael jacksons. How ai software could monitor realtime camera feeds to. Professor shlizermans company dreambit acquired by facebook. Students demonstrate their hololens apps after a quarter of.
Apr 11, 2014 up next for the research team is advancing the softwares wrinkling and hair whitening capabilities, not to mention including other ethnicities. Imaging software predicts how you look with different hair styles, colors, appearances. Different lightning conditions or busy environments could mask the tiny movements. Ira kemelmachershlizerman the lead investigator on megaface told the daily mail, we need to test facial recognition on a planetary scale to enable practical applications. Black box testing and fixing after coding is finished the testing group beats on the code. Kemelmacher shlizerman and her team previously created automated age progression software that focused just on the persons face, but this new ai can add varied hairstyles and other contextual.
While casia is a great resource, it contains only 10k individuals, and does not have an associated benchmark i. The allen school has moved the majority of operations online for spring quarter, including all classes and academic advising. Juncheng chen, weita chu, jinhau kuo, chungyi weng, jaling wu acm multimedia 2006 best paper award. Uw engineering and computer science assistant professor ira kemelmachershlizerman. Her research is in the intersection of computer vision, computer graphics, and ai. Whats also useful about the gan is that you can train the generator on your own images to improve results at test time. The reason this new software is so accurate is that its based on 40,000 images of random people of all ages grabbed from the internet. Jul 11, 2017 new tools turn audio clips into realistic video date. Audio to body dynamics dec 19, 2017 eli shlizerman, lucio m. The world is your green screen, author soumyadip sengupta and vivek jayaram and brian curless and steve seitz and ira kemelmacher shlizerman, booktitlecomputer vision and pattern regognition cvpr, year2020. Prior to his professorship, kaner worked in the software industry beginning in 1983 in. Kemelmacher shlizerman says there will be real uses for the software, such as in helping find longmissing children whove now become adults. In this video, uw cse professor ira kemelmachershlizerman talks about illuminationaware age progression software, which automatically. Kemelmacher shlizerman is going to present the work in.
The new system adds varied hairstyle options and other contextual elements. He is perhaps best known outside academia as an advocate of software usability and software testing. Developed by ira kemelmachershlizerman, uw assistant professor of computer science and engineering, dreambit lets us try on a new look. Ira kemelmachershlizerman of the university of washingtons paul g. Today show hosts test groundbreaking new software that predicts how we will age. How photos of your kids are powering surveillance technology. Models, code, and papers for ira kemelmacher shlizerman. This chapter introduces this book by illustrating how an experienced tester could.
Kemelmacher shlizerman contacted the center for missing and exploited children and was told her software s ability to utilize even a single toddler. Imaging software predicts how you look with different hair styles, colors, appearances jennifer langston. It allows ira kemelmacher shlizerman and her team at the uw paul allen computer science center to use a childs simple photo and show what he or she would look like through the years to 80 and older. Jun 23, 2016 how well do facial recognition algorithms cope with a million strangers. The software relies on a database of thousands of faces, grouped by gender and age. Make a photobio video from your digital pics using. How well do facial recognition algorithms cope with a million. Ira kemelmacher shlizerman of the university of washingtons paul g. Helen of troy may have had the face that launched a thousand ships, but even the best facial recognition algorithms might have had trouble finding her in a crowd of a million strangers. Kemelmacher shlizerman and her team previously developed automated age progression software that focused only on a persons face. Astonishing age progression software may be important tool. Today show hosts test groundbreaking new software that. When we go to the hair stylist, we can browse magazines with pictures of models and point to a photo wed like to try. The software system analyzes the input photo and searches.
Professor ira kemelmacher shlizerman is the director of the university of washingtons reality lab, which is an academic research center focused on xr technology and backed by major tech players such as. Kemelmachershlizerman is one of the brains behind a series of highprofile research projects that combine facial recognition, modeling and 3d reconstruction including a new technique to create photorealistic videos of people from audio files, as demonstrated by a lipsyncing obama. Machine learning, science and technology, virtual reality. Tiling slideshow is a brave new photo displaying method to arrange photos in a tilelike manner, coordinating with the pace of background music. Jun 10, 2016 the class culminated in a sort of open demo day at the uw campus, where students could show off their work to the general public and serious players like microsoft researchs cvp peter lee it.
We need to test facial recognition on a planetary scale to enable practical applications testing on a larger scale lets you discover the flaws and successes of recognition algorithms, said ira kemelmacher shlizerman, a uw assistant professor of computer science and the projects principal investigator. Why should we want to know what unpleasantness faces us. Im really interested in trying to find some representation of everyone in the world by leveraging the massive amounts of captured face photos, kemelmachershlizerman said. Software testing and program analysis, in particular efficient mutation testing. Most staff are working remotely and available via email. Researchers led by assistant professor ira kemelmacher shlizerman say that theyve managed to create a computer algorithm that can actually do a much better job than its human counterpart. In 2015, two of the schools computer science professors ira kemelmacher shlizerman and steve seitz and their graduate students used the flickr data to create megaface. Seattle university of washington researchers have developed a computer program that is both amazing and scary. Jun 24, 2016 what happens if you lose your phone in a train station in amsterdam and someone tries to steal it. New videoanalysis software sees heartbeats inside science. Developer ira kemelmacher shlizerman, uw assistant professor of computer science and engineering, and her team previously developed automated age progression software that focused only on a person. Ira kemelmachershlizerman, 33, is an assistant uw professor who helped. Professor ira kemelmachershlizerman is the director of the university of washingtons reality lab, which is an academic research center focused on xr technology and backed by major tech players such as. Age progression software is so good people cant tell the.
Jun 24, 2016 a new study into how various facial recognition software performs has found that actual effectiveness plummets as test sample sizes grow. Last summer, kemelmacher shlizerman was part of a team of uw researchers who created a machinelearning algorithm that can convert 2d youtube clips into 3d reconstructions. Jun 23, 2016 we need to test facial recognition on a planetary scale to enable practical applications testing on a larger scale lets you discover the flaws and successes of recognition algorithms, said ira kemelmachershlizerman, a uw assistant professor of computer science and the projects principal investigator. That said, this books early frame of reference shows how far weve come. Kemelmacher shlizerman is a scientist and entrepreneur. Ira kemelmacher shlizerman, a postdoctoral student at the university of washington, helped create a. The dystopian future of fake news is being developed in. In 2004 he cofounded the nonprofit association for software testing. Kemelmachershlizerman says there will be real uses for the software, such as in helping find longmissing children whove now become adults. New photo software can morph faces like michael jacksons black or white video. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors. Suppose you run the network and the output is not very good. Their combined citations are counted only for the first article. Uw researchers develop realistic, lipsynced video software.
Ira kemelmacher shlizerman, university of washington. But for everyone else, this tech could be a serious nightmare. A new study into how various facial recognition software performs has found that actual effectiveness plummets as test sample sizes grow. How to create 3danimated characters and people from a. Jul 21, 2016 developer ira kemelmachershlizerman, uw assistant professor of computer science and engineering, and her team previously developed automated age progression software that focused only on a persons face. We present a method that gets as input an audio of violin or piano playing, and outputs a video of skeleton predictions which are further used to animate an avatar.
Hi, im chungyi, a phd student from grail, cse, uw, working with prof. This cited by count includes citations to the following articles in scholar. Machine learning algorithm copies your likeness and. New software can automatically show how a child will look as he or. Level playing field for million scale face recognition aaron nech ira kemelmacher shlizerman paul g. Which ai software is the best at facial recognition. Key trends and takeaways from rework deep learning summit. Google, facebook and futurewei the united states research arm of chinas huawei technologies. It makes it clear that being old is not a pleasant thing. I kemelmacher shlizerman, sm seitz, d miller, e brossard.
New tools turn audio clips into realistic video sciencedaily. Software testing and program analysis, in particular efficient mutation testing, partial test oracles, and security testing. The best thing about testing computer software is its practical pointbypoint guide to everyday software testing, from creating a test plan, to writing effective bug reports, to working with programming staff and management to fix bugs. While many of todays emerging technologies hold a great deal of promise, left unchecked many of them should scare us just as much as, if not more than, they excite us. Recent research from koltuns lab 3 indicates that the answer is yes. The idea was to test the machines on a database that included up to 1 million different images of nearly 700,000.
Imaging software predicts how you look with different. Experienced through an augmented reality headset like the microsoft hololens or the htc vive pro, the system places a virtual representation of the match on any realworld flat surface. Imaging software predicts how you look with different hair. What happens if you lose your phone in a train station in amsterdam and someone tries to steal it. Developer ira kemelmachershlizerman, uw assistant professor of computer science and engineering, and her team previously developed. Dreambit aging imaging software developed by university of flickr.
Software predicts what your children will look like as. Ira kemelmacher shlizerman, steve seitz vrar capstone at. Or the people who are pioneering new ways to represent. The largest public data set is casiawebface 35 that includes 500k photos of 10k celebrities, crawled from the web. Jun 28, 20 new videoanalysis software sees heartbeats. Make a photobio video from your digital pics using facial recognition software. Face aging software can show your childs future ieee spectrum. Kemelmacher shlizerman is one of the brains behind a series of highprofile research projects that combine. Kemelmacher shlizerman has sold a faceswapping image company to facebook and advanced deepfake technology by converting audio clips of barack obama into a realistic. So would testing it on people with health problems. Machine learning algorithm copies your likeness and creates a 3d puppet solely from internet photos electronic products.
Containing more than four million photos of some 672,000 people, it held deep promise for testing and perfecting facerecognition algorithms. Prior to uw, i was technical lead in magic technology team of cyberlink, working on computational photography, computer vision and machine learning. Coding and documentation good practices interleave documentation and testing with coding document the function as you write it, or once you finish it test the function as you build it. Dreambit adds varied hairstyle options and other contextual. The ongoing revolution in software testing cem kaner, j. Level playing field for million scale face recognition. Uw medicine begins coronavirus testing for all patients admitted to its hospitals. For example, my students and i are studying high volume test automation in spring 20, and we are in early stages of designing a web usability testing course. How well do facial recognition algorithms cope with a. Oct 11, 2019 in 2015, two of the schools computer science professors ira kemelmachershlizerman and steve seitz and their graduate students used the flickr data to create megaface. Trained on many hours of his weekly address footage, a recurrent neural network learns the mapping from raw audio features to. How well do facial recognition algorithms cope with a million strangers. Software testing cem kaner pdf software testing is partly intuitive but largely systematic.