3 citations · 10 across the 11 of their papers we have counts for
11 papers
Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
Niki Martinel, Rita Pucci
We present a novel dual-stream architecture that achieves state-of-the-art underwater image enhancement by explicitly integrating the Jaffe-McGlamery physical model with capsule cl…
CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
Rita Pucci, Niki Martinel
Unmanned underwater image analysis for marine monitoring faces two key challenges: (i) degraded image quality due to light attenuation and (ii) hardware storage constraints limitin…
Comparison between transformers and convolutional models for fine-grained classification of insects
Rita Pucci, Vincent J. Kalkman, Dan Stowell
Fine-grained classification is challenging due to the difficulty of finding discriminatory features. This problem is exacerbated when applied to identifying species within the same…
UW-ProCCaps: UnderWater Progressive Colourisation with Capsules
Rita Pucci, Niki Martinel
Underwater images are fundamental for studying and understanding the status of marine life. We focus on reducing the memory space required for image storage while the memory space…
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization
Rita Pucci, Christian Micheloni, Niki Martinel
The degradation in the underwater images is due to wavelength-dependent light attenuation, scattering, and to the diversity of the water types in which they are captured. Deep neur…
TUCaN: Progressively Teaching Colourisation to Capsules
Rita Pucci, Niki Martinel
Automatic image colourisation is the computer vision research path that studies how to colourise greyscale images (for restoration). Deep learning techniques improved image colouri…