Mar 15–18, 2020

Schedule: AI Focus: Computer Vision sessions

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11:00am11:40am Tuesday, March 17, 2020
Location: 210 E
Tony Xing (Microsoft), Anand Raman (Microsoft)
Anomaly detection may sound old-fashioned, but it's super important in many industrial applications. Tony Xing and Anand Raman outline a novel anomaly detection algorithm based on spectral residual (SR) and convolutional neural networks (CNNs) and how this novel method was applied in the monitoring system supporting Microsoft AIOps and business incident prevention. Read more.
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11:50am12:30pm Tuesday, March 17, 2020
Location: 210 E
Studying time and motion in manufacturing operations on a shop floor is traditionally carried out through manual observation, which is time consuming and involves human errors and limitations. Sundar Varadarajan and Peyman Behbahani detail a new approach of video analytics combined with time series analysis to automate activity identification and timing measurements. Read more.
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1:45pm3:15pm Tuesday, March 17, 2020
Location: 210 D/H
Patrick Buehler (Microsoft)
In recent years, computer vision (CV) has seen quick growth in quality and usability, driving business adoption of AI solutions. Patrick Buehler offers a comprehensive introduction to deep learning models for computer vision (CV). You'll be able to get your hands dirty training and evaluating CV models with prepared examples and exercises. Read more.
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4:15pm4:55pm Tuesday, March 17, 2020
Location: 210 E
Eitan Anzenberg (Bill.com)
Although the field of optical character recognition (OCR) has been around for half a century, document parsing and field extraction from images remains an open research topic. Eitan Anzenberg leads a deep dive into a learning architecture that leverages document understanding to extract fields of interest. Read more.
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5:05pm5:45pm Tuesday, March 17, 2020
Location: 210 E
Josh Weisberg (Zillow Group)
Computer vision and deep learning enable new technologies to mimic how the human brain interprets images and create interactive shopping experiences. This progress has major implications for businesses providing customers with the information they need to make a purchase decision. Josh Weisberg offers an overview of implementing computer vision to create rich media experiences. Read more.
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11:00am11:40am Wednesday, March 18, 2020
Location: 210 E
Imagine looking into a mirror but not seeing your own face. Instead, you're looking in the eyes of Barack Obama or Angela Merkel. Your facial expressions are seamlessly transferred to the other person's face in real time. Martin Förtsch and Thomas Endres dig into a prototype from TNG that transfers faces from one person to another in real time based on deepfakes. Read more.
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11:50am12:30pm Wednesday, March 18, 2020
Location: 210 E
Meghana Ravikumar answers how resource-constrained teams can make trade-offs between efficiency and effectiveness using pretrained models. Her argument is anchored on building an image classifier trained on the Stanford Cars dataset to evaluate fine tuning, feature extraction, and the impact of hyperparameter optimization, then tune image transformation parameters to augment the model. Read more.
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1:45pm2:25pm Wednesday, March 18, 2020
Location: 210 E
Stephan Erberich (University of Southern California), Kalvin Ogbuefi (Children's Hospital Los Angeles), Long Ho (Children's Hospital Los Angeles)
Annotating radiological images by category at scale is a critical step for analytical ML. Supervised learning is challenging because image metadata doesn't reliably identify image content and manually labeling images for AI algorithms isn't feasible. Stephan Erberich, Kalvin Ogbuefi, and Long Ho share an approach for automated categorization of radiological images based on content category. Read more.
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2:35pm3:15pm Wednesday, March 18, 2020
Location: 210 E
Digital brands focus heavily on personalizing consumers' experience at every single touchpoint. In order to engage with consumers in the most relevant ways, Lily AI helps brands dissect and understand how their consumers interact with their products, more specifically with the product features. Sowmiya Chocka Narayanan explores the lessons learned building AI-powered personalization for fashion. Read more.
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4:15pm4:55pm Wednesday, March 18, 2020
Location: 210 E
AI techniques are used in a wide range of applications. Crowd-counting deep learning models have been used to count people, animals, and microscopic cells. Srikanth Gopalakrishnan introduces novel crowd-counting techniques and their applications, including a pharma case study that used it for drug discovery to bring about 98% savings in drug characterization efforts. Read more.

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