TA1a.2

Implicit and Explicit Volumetric Representations for Sensor Fusion

Session:
TA1a: Theory and Applications of Implicit Neural Representations for Inverse Problems Lecture
Track:
Speech, Image and Video Processing
Location:
Heather
Presentation Time:
Tue, 28 Oct, 08:40 - 09:05 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TA1a
TA1a.1: Specialized INRs for time-of-arrival sensing
Vishesh Kumar, Rice University, United States; Vishwanath Saragadam, UC Riverside, United States; Vivek Boominathan, Rice University, United States
TA1a.2: Implicit and Explicit Volumetric Representations for Sensor Fusion
TA1a.3: Meta-learned INRs for sparse view CT reconstruction
Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan, Rice University, United States
TA1a.4: Extended Field of View mmWave Imaging with Implicit Neural Representations
Sanjaya Herath, University of Maryland, United States; Matthew Ziemann, DEVCOM Army Research Lab, United States; Christopher Metzler, University of Maryland, United States
Contacts