Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

H-2: Computer Vision, Image and Video Analysis

Session Type: Virtual
Time: Monday, October 31, 09:30 - 10:30
Location: Virtual H
Virtual Session: Attend on Virtual Platform
 
H-2.1: QU-net++: Image Quality Detection Framework for Segmentation of Medical 3D Image Stacks
         Sohini Roychowdhury; Santa Clara University
 
H-2.2: Real-time Face Tracking Based on a Configurable Ensemble of Detectors
         Eung Joo Lee; MGH / Harvard Medical School
         Alex Mattingly; University of Maryland, College Park
         Heesung Kwon; DEVCOM Army Research Laboratory (ARL)
         Benjamin Riggan; University of Nebraska-Lincoln
         Shuvra Bhattacharyya; University of Maryland, College Park
 
H-2.3: Spatial Transformer K-Means
         Romain Cosentino; Rice University
         Randall Balestriero; Rice University
         Yanis Bahroun; Flatiron Institute, Simons Foundation
         Anirvan Sengupta; Flatiron Institute/Rutgers University
         Richard Baraniuk; Rice University
         Behnaam Aazhang; Rice University
 
H-2.4: Spatial-temporal data compression of dynamic vision sensor output with high pixel-level saliency using low-precision sparse autoencoder
         Ahmed Hasssan; Arizona State University
         Jian Meng; Arizona State University
         Yu Cao; Arizona State University
         Jae-sun Seo; Arizona State University
 
H-2.5: Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation
         Sandipan Choudhuri; Arizona State University
         Suli Adeniye; Arizona State University
         Arunabha Sen; Arizona State University
         Hemanth Venkateswara; Arizona State University