3 papers
cs.CV2024
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow
Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini +3
Multi-image super-resolution (MISR) allows to increase the spatial resolution of a low-resolution (LR) acquisition by combining multiple images carrying complementary information i…
cs.LG2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement
Aditya Singh, Alessandro Bay, Biswa Sengupta +1
Deep neural networks have been shown to be highly miscalibrated. often they tend to be overconfident in their predictions. It poses a significant challenge for safety-critical syst…
cs.CV2020
Assessing The Importance Of Colours For CNNs In Object Recognition
Aditya Singh, Alessandro Bay, Andrea Mirabile
Humans rely heavily on shapes as a primary cue for object recognition. As secondary cues, colours and textures are also beneficial in this regard. Convolutional neural networks (CN…