[Access Lunch] Accessibility Lunch - 04/15

Fri Apr 12 12:46:48 EDT 2024

Hi everyone, For the upcoming Accessibility Lunch Seminar, we have Josh  
Myers-Dean joining us in-person as a guest speaker: Abstract: Image  
segmentation is the task of assigning a category to each pixel in an image  
and is crucial in various applications, from image editing to enhancing  
accessibility through navigation and image exploration. Existing  
interactive segmentation algorithms face two main limitations: they often  
necessitate knowledge of the user's preferred selection tools or explicit  
instructions on inclusion and exclusion criteria, leading to a cumbersome  
user experience. This is particularly problematic in creative workflows,  
where segmentation is merely a preliminary step. Furthermore, automatic  
segmentation algorithms often struggle with granularity, typically halting  
at part-level segmentations due to lack of available data. This granularity  
issue overlooks a critical desire within the BLV community for algorithms  
capable of offering detailed information upon request [StanglAssets18],  
limiting the potential to enhance automatic magnification tools or  
descriptions when shopping online. Josh will discuss approaches to  
redefining the interactive segmentation problem to accommodate diverse user  
needs. Additionally, he will introduce his efforts in developing a dataset  
designed to support subpart granularity, aiming to enable algorithms that  
offer hierarchical segmentations and in-depth image details. He will also  
explore potential opportunities these advancements present for improving  
accessibility applications. Speaker Bio: Josh Myers-Dean is a 3rd year  
Ph.D. student in Computer Science at the University of Colorado Boulder  
working with Danna Gurari. Josh earned a B.S. in Computer Science from  
Western Washington University and has interned with the Pacific Northwest  
National Laboratory, Adobe Research, and the Allen Institute for Artificial  
Intelligence. His research focuses on creating efficient, user-friendly  
segmentation algorithms to reduce friction in pipelines that rely on image  
segmentation, such as image editing, as well as creating algorithms that  
can segment a region at multiple layers of granularity. His work has been  
published in computer vision venues such as WACV and his work is supported  
by an NSF Graduate Research Fellowship. Join us at noon in NSH 4201.  
Looking forward to this interesting talk! Thanks and regards, Peya

Accessibility Lunch
Monday Apr 15, 2024 ⋅ 12pm – 1pm
Eastern Time - New York

Location
NSH 4201	
https://www.google.com/maps/search/NSH+4201?hl=en

Attachments
Accessibility Lunch Schedule 2024  
https://drive.google.com/open?id=1k1Pmh9jo-N7S73Fi10y-5tEynvhw3xLbPf-NMAjTSxU&authuser=2

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Organizer
Peya Mowar
pmowar at andrew.cmu.edu

Guests
Peya Mowar - organizer
Jeffrey Bigham
Patrick Carrington
Frank Elavsky
jeffrey.bigham at gmail.com
Heather Kelley
Carl Haynes-Magyar
Vivek Thangavelu
Hayden Stec
Naomie Williams
rncoley at sei.cmu.edu
Kimberly Norris
Cameil Ruffing
Aaron Steinfeld
Jessica Benner
Chieri Nnadozie Nnadozie
yaxin.hu at wisc.edu
accessibility-lunch at lists.andrew.cmu.edu

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