21 citations · 34 across the 35 of their papers we have counts for
3 papers · 1 filter
LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution
Aditya Kasliwal, Ishaan Gakhar, Aryan Kamani +2
In the last few years, the fusion of multi-modal data has been widely studied for various applications such as robotics, gesture recognition, and autonomous navigation. Indeed, hig…
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation
Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava +2
Semantic segmentation of brain tumours is a fundamental task in medical image analysis that can help clinicians in diagnosing the patient and tracking the progression of any malign…
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution
Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi +1
Thermal imaging has numerous advantages over regular visible-range imaging since it performs well in low-light circumstances. Super-Resolution approaches can broaden their usefulne…