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cs.CV2026
Semantic Smoothing via Novel View Synthesis for Robust SAR Image Classification
Daniel Brignac, Fengwei Tian, Banafsheh Latibari +2
Deep neural networks are vulnerable to adversarial perturbations, limiting deployment in safety-critical applications such as synthetic aperture radar (SAR) automatic target recogn…
cs.CV2026
Pay Attention to Where You Looked
Alex Berian, JhihYang Wu, Daniel Brignac +2
Novel view synthesis (NVS) has advanced with generative modeling, enabling photorealistic image generation. In few-shot NVS, where only a few input views are available, existing me…
cs.CV2025
CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation
Alex Berian, Daniel Brignac, JhihYang Wu +2
Geospatial imaging leverages data from diverse sensing modalities-such as EO, SAR, and LiDAR, ranging from ground-level drones to satellite views. These heterogeneous inputs offer…