4 papers · 1 filter
Learnable Spectral Activations
Tamir Shor, Or Litany, Alex Bronstein
Implicit neural representations (INRs) are shaped by the spectral structure induced by their input encodings and activation functions. Existing methods improve fitting primarily by…
Awaken, Then Scale: Tiny Adaptation for MRI Reconstruction
Mohammed Wattad, Tamir Shor, Alexander M. Bronstein
Dormant Awakening (DA) specializes a magnetic resonance imaging (MRI) reconstruction model by fitting a small set of zero weights to one labeled slice. Across fourteen U-shaped con…
Beyond Sparsity: Weight Location and Network Context in Pruned MRI Reconstruction
Mohammed Wattad, Tamir Shor, Alexander M. Bronstein
Pruning reduces the number of weights in magnetic resonance imaging (MRI) reconstruction networks. Equal sparsity, however, can retain weights with different computational roles an…
RS-OVC: Open-Vocabulary Counting for Remote-Sensing Data
Tamir Shor, George Leifman, Genady Beryozkin
Object-Counting for remote-sensing (RS) imagery is attracting increasing research interest due to its crucial role in a wide and diverse set of applications. While several promisin…