TA1a: Theory and Applications of Implicit Neural Representations for Inverse Problems
Tue, 28 Oct, 08:15 - 09:55 PT (UTC -8)
Location: Heather
Session Type: Lecture
Session Co-Chairs: Vishwanath Saragadam, University of California, Riverside and Vivek Boominathan, Rice University
Track: Speech, Image and Video Processing
Tue, 28 Oct, 08:15 - 08:40 PT (UTC -8)

TA1a.1: NEWER: Neural Estimation of Wavelet-Embedded Representations
Vishesh Kumar, Rice University, United States; Vishwanath Saragadam, UC Riverside, United States; Vivek Boominathan, Rice University, United States
Tue, 28 Oct, 08:40 - 09:05 PT (UTC -8)

TA1a.2: Implicit and Explicit Volumetric Representations for Sensor Fusion
Zihao Zou, University of North Carolina at Chapel Hill, United States; Ziyuan Qu, Dartmouth College, United States; Suren Jayasuriya, Arizona State University, United States; Adithya Pediredla, Dartmouth College, United States; Praneeth Chakravarthula, University of North Carolina at Chapel Hill, United States
Tue, 28 Oct, 09:05 - 09:30 PT (UTC -8)

TA1a.3: Learning Efficient Implicit Neural Representations for Low Data Settings with Structured Noise
Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan, Rice University, United States
Tue, 28 Oct, 09:30 - 09:55 PT (UTC -8)

TA1a.4: Extended Field of View mmWave Imaging with Implicit Neural Representations
Sanjaya Herath, University of Maryland, United States; Matthew Ziemann, DEVCOM Army Research Laboratory, United States; Christopher Metzler, University of Maryland, United States