3 papers
cs.CV2026
PixelUp: Zero-Shot Semantic Feature Upsampling for Fine-Grained Vision Tasks
Deepank Singh, Anurag Nihal, Vedhus Hoskere
Self-supervised Vision Foundation Models (VFMs) have become essential backbones for downstream tasks due to their strong and transferable visual representations. However, their pat…
cs.CV2026
Excite, Attend and Segment (EASe): Domain-Agnostic Fine-Grained Mask Discovery with Feature Calibration and Self-Supervised Upsampling
Deepank Singh, Anurag Nihal, Vedhus Hoskere
Unsupervised segmentation approaches have increasingly leveraged foundation models (FM) to improve salient object discovery. However, these methods often falter in scenes with comp…
cs.CV2025
Multiclass Post-Earthquake Building Assessment Integrating High-Resolution Optical and SAR Satellite Imagery, Ground Motion, and Soil Data with Transformers
Deepank Singh, Vedhus Hoskere, Pietro Milillo
Timely and accurate assessments of building damage are crucial for effective response and recovery in the aftermath of earthquakes. Conventional preliminary damage assessments (PDA…