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cs.CV2026
DGSSM: Diffusion guided state-space models for multimodal salient object detection
Suklav Ghosh, Arijit Sur, Pinaki Mitra
Salient object detection (SOD) requires modeling both long-range contextual dependencies and fine-grained structural details, which remains challenging for convolutional, transform…
cs.CV2025
Trans-defense: Transformer-based Denoiser for Adversarial Defense with Spatial-Frequency Domain Representation
Alik Pramanick, Mayank Bansal, Utkarsh Srivastava +2
In recent times, deep neural networks (DNNs) have been successfully adopted for various applications. Despite their notable achievements, it has become evident that DNNs are vulner…
cs.CV2025
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
Suklav Ghosh, Sonal Kumar, Arijit Sur
Deep neural networks (DNNs) have achieved remarkable success in computer vision tasks such as image classification, segmentation, and object detection. However, they are vulnerable…