Genevieve Patterson's guest appearances

Genevieve Patterson

TalkTales: "Cheaper Than Therapy" Bartender Advice Line

Datacast

Jeremy Allen

David Sweet

Justyn Myers

Sara Hooker

Nancy Sanders

Tony Gonzales

Brian O'Neill

Chad Dennis

Cody Coleman

Sarah Catanzaro

Sara Choi

Jonathan Leslie

Vincent Tatan

Ben Fowler

Jannes Klaas

OwlTail

Show Notes:  (2:09) Genevieve discussed her undergraduate experience studying Electrical Engineering and Mathematics at the University of Arizona. (3:18) Genevieve talked about her Master’s work in Electrical Machines from the University of Tokyo. (6:59) Genevieve went in-depth about her research work on transverse-flux motor design during her Master’s, in which she won the Outstanding Paper award at ICEMS 2009. (11:39) Genevieve talked about her motivation to pursue a Ph.D. degree in Computer Science at Brown University after coming back from Japan. (14:17) Genevieve shared her story of finding her research advisor (Dr. James Hays) as a graduate student. (18:44) Genevieve discussed her work building and maintaining the SUN Attributes dataset, a widely used resource for scene understanding, during her first year of her Ph.D. degree. (21:52) Genevieve talked about the paper Basic Level Scene Understanding (2013), her collaboration with researchers from MIT, Princeton, and University of Washington to build a system that can automatically understand 3D scenes from a single image. (24:32) Genevieve talked about the paper Bootstrapping Fine-grained Classifiers: Active Learning with a Crowd in the Loop presented at the NIPS conference in 2013, her collaboration with researchers from UCSD and Cal-Tech to propose an iterative crowd-enabled active learning algorithm for building high-precision visual classifiers from unlabeled images. (28:25) Genevieve discussed her Ph.D. thesis titled “Collective Insight: Crowd-Driven Image Understanding.” (34:02) Genevieve mentioned her next career move - becoming a Postdoctoral Researcher at Microsoft Research New England. (36:40) Genevieve talked about her teaching experience for 2 graduate-level courses: Data-Driven Computer Vision at Brown University in Spring 2016 and Deep Learning For Computer Vision at Tufts University in Spring 2017. (38:04) Genevieve shared her 2 advice for graduate students who want to make a dent in the AI/Machine Learning research community. (41:45) Genevieve went over her startup TRASH, which develops computational filmmaking tools for mobile iphono-graphers. (43:45) Genevieve mentioned the benefit of having TRASH as part of the NYU Tandon Future Labs, which is a network of business incubator and accelerators that support early stage ventures in NYC. (45:00) Genevieve talked about the research trends in computer vision, augmented reality, and scene understanding that she’s most interested in at the moment. (45:59) Closing segment.  Her Contact Info:  Website GitHub LinkedIn Twitter CV  Her Recommended Resources:  The Trouble with Trusting AI to Interpret Police Body-Cam Video Microsoft Research Podcast Stanford’s CS231n: Convolutional Neural Networks for Visual Recognition Yann LeCun's letter to CVPR chair after bad reviews on a Vision System that "learnt" features &amp; reviews Paperspace CVPR 2019 Michael Black’s Perceiving Systems Lab at the Max Planck Institute for Intelligent Systems Nassim Taleb’s “The Black Swan”

Show Notes: <ul> <li>(2:09) Genevieve discussed her undergraduate experience studying Electrical Engineering and Mathematics at <a href="https://www.arizona.edu/" rel="nofollow" target="_blank">the University of Arizona</a>.</li> <li>(3:18) Genevieve talked about her Master’s work in Electrical Machines from <a href="https://www.u-tokyo.ac.jp/en/academics/graduate_schools.html" rel="nofollow" target="_blank">the University of Tokyo</a>.</li> <li>(6:59) Genevieve went in-depth about her research work on transverse-flux motor design during her Master’s, in which she won the Outstanding Paper award at <a href="https://www.worldcat.org/title/icems-2009-the-12th-international-conference-on-electrical-machines-and-systems-november-15-18-2009-tower-hall-funabori-tokyo-japan/oclc/803295974" rel="nofollow" target="_blank">ICEMS 2009</a>.</li> <li>(11:39) Genevieve talked about her motivation to pursue a <a href="https://cs.brown.edu/degrees/doctoral/" rel="nofollow" target="_blank">Ph.D. degree in Computer Science at Brown University</a> after coming back from Japan.</li> <li>(14:17) Genevieve shared her story of finding her research advisor (<a href="https://www.cc.gatech.edu/%7Ehays/" rel="nofollow" target="_blank">Dr. James Hays</a>) as a graduate student.</li> <li>(18:44) Genevieve discussed her work building and maintaining <a href="http://cs.brown.edu/%7Egmpatter/sunattributes.html" rel="nofollow" target="_blank">the SUN Attributes dataset</a>, a widely used resource for scene understanding, during her first year of her Ph.D. degree.</li> <li>(21:52) Genevieve talked about the paper <a href="http://cs.brown.edu/%7Egmpatter/pub_papers/BasicLevelSceneUnderstanding_FrontiersPsychology.pdf" rel="nofollow" target="_blank">Basic Level Scene Understanding</a> (2013), her collaboration with researchers from MIT, Princeton, and University of Washington to build a system that can automatically understand 3D scenes from a single image.</li> <li>(24:32) Genevieve talked about the paper <a href="http://cs.brown.edu/%7Egmpatter/pub_papers/nips_workshop_2013.pdf" rel="nofollow" target="_blank">Bootstrapping Fine-grained Classifiers: Active Learning with a Crowd in the Loop</a> presented at the NIPS conference in 2013, her collaboration with researchers from UCSD and Cal-Tech to propose an iterative crowd-enabled active learning algorithm for building high-precision visual classifiers from unlabeled images.</li> <li>(28:25) Genevieve discussed her Ph.D. thesis titled “Collective Insight: Crowd-Driven Image Understanding.”</li> <li>(34:02) Genevieve mentioned her next career move - becoming a Postdoctoral Researcher at <a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-new-england/" rel="nofollow" target="_blank">Microsoft Research New England</a>.</li> <li>(36:40) Genevieve talked about her teaching experience for 2 graduate-level courses: <a href="http://cs.brown.edu/courses/csci2951-t/" rel="nofollow" target="_blank">Data-Driven Computer Vision</a> at Brown University in Spring 2016 and <a href="https://comp150dl.github.io/" rel="nofollow" target="_blank">Deep Learning For Computer Vision</a> at Tufts University in Spring 2017.</li> <li>(38:04) Genevieve shared her 2 advice for graduate students who want to make a dent in the AI/Machine Learning research community.</li> <li>(41:45) Genevieve went over her startup <a href="https://trash.app/" rel="nofollow" target="_blank">TRASH</a>, which develops computational filmmaking tools for mobile iphono-graphers.</li> <li>(43:45) Genevieve mentioned the benefit of having TRASH as part of the <a href="https://futurelabs.nyc/" rel="nofollow" target="_blank">NYU Tandon Future Labs</a>, which is a network of business incubator and accelerators that support early stage ventures in NYC.</li> <li>(45:00) Genevieve talked about the research trends in computer vision, augmented reality, and scene understanding that she’s most interested in at the moment.</li> <li>(45:59) Closing segment.</li> </ul> Her Contact Info: <ul> <li><a href="https://genp.github.io/" rel="nofollow" target="_blank">Website</a></li> <li><a href="https://github.com/genp" rel="nofollow" target="_blank">GitHub</a></li> <li><a href="https://www.linkedin.com/in/genevieve-patterson-2a380895/" rel="nofollow" target="_blank">LinkedIn</a></li> <li><a href="https://twitter.com/genevievemp/" rel="nofollow" target="_blank">Twitter</a></li> <li><a href="https://genp.github.io/assets/resources/GPatterson_cv2018.pdf" rel="nofollow" target="_blank">CV</a></li> </ul> Her Recommended Resources: <ul> <li><a href="https://spectrum.ieee.org/computing/software/the-trouble-with-trusting-ai-to-interpret-police-bodycam-video" rel="nofollow" target="_blank">The Trouble with Trusting AI to Interpret Police Body-Cam Video</a></li> <li><a href="https://www.microsoft.com/en-us/research/blog/category/podcast/" rel="nofollow" target="_blank">Microsoft Research Podcast</a></li> <li>Stanford’s <a href="http://cs231n.stanford.edu/" rel="nofollow" target="_blank">CS231n: Convolutional Neural Networks for Visual Recognition</a></li> <li><a href="https://www.reddit.com/r/MachineLearning/comments/4lq701/yann_lecuns_letter_to_cvpr_chair_after_bad/" rel="nofollow" target="_blank">Yann LeCun's letter to CVPR chair after bad reviews on a Vision System that "learnt" features &amp; reviews</a></li> <li><a href="https://www.paperspace.com/" rel="nofollow" target="_blank">Paperspace</a></li> <li><a href="http://cvpr2019.thecvf.com/" rel="nofollow" target="_blank">CVPR 2019</a></li> <li>Michael Black’s <a href="https://ps.is.mpg.de/%7Eblack" rel="nofollow" target="_blank">Perceiving Systems Lab</a> at the <a href="https://www.is.mpg.de/" rel="nofollow" target="_blank">Max Planck Institute for Intelligent Systems</a></li> <li>Nassim Taleb’s “<a href="https://www.amazon.com/Black-Swan-Improbable-Robustness-Fragility/dp/081297381X" rel="nofollow" target="_blank">The Black Swan</a>”</li></ul>

Episode 17: Computer Vision Research with Genevieve Patterson

Shana and Matt interview the amazing Genevieve Patterson, bartender at The Semi Tropic and Prado in Echo Park. In this wild and wacky episode we are graced with stories of life as a musician in the bar industry, unwanted full frontal and a full mooning guest experience. The Team is joined (interrupted?) by Fresca and Francesca, "The Ladies of Leisure"  for a wild ride and lesson about some of LA's go to spots. Grab yourselves something to sip on and let's go on a magical journey into the world of bartending...Edits by Raashid Zubair at  www.podbearaudio.comTheme song by Josh CarroLadies of Leisure written by Shana Race and Ray Little,  performed by Ray Little.TalkTales is intended for an audience 21 years and older. We promote responsible drinking and absolutely no drinking and driving.

Shana and Matt interview the amazing Genevieve Patterson, bartender at The Semi Tropic and Prado in Echo Park. In this wild and wacky episode we are graced with stories of life as a musician in the bar industry, unwanted full frontal and a full mooning guest experience. The Team is joined (interrupted?) by Fresca and Francesca, "The Ladies of Leisure" for a wild ride and lesson about some of LA's go to spots. Grab yourselves something to sip on and let's go on a magical journey into the world of bartending... Edits by Raashid Zubair at <a href="http://www.podbearaudio.com" rel="nofollow" target="_blank">www.podbearaudio.com</a> Theme song by Josh Carro Ladies of Leisure written by Shana Race and Ray Little, performed by Ray Little. TalkTales is intended for an audience 21 years and older. We promote responsible drinking and absolutely no drinking and driving.

Ep. 47 "Full Moon and Full Frontal" Featuring Genevieve Patterson and "The Ladies Of Leisure"