3 papers
eess.IV2026
Scalable neural pushbroom architectures for real-time denoising of hyperspectral images onboard satellites
Ziyao Yi, Davide Piccinini, Diego Valsesia +2
The next generation of Earth observation satellites will seek to deploy intelligent models directly onboard the payload in order to minimize the latency incurred by the transmissio…
eess.IV2026
A low-complexity method for efficient depth-guided image deblurring
Ziyao Yi, Diego Valsesia, Tiziano Bianchi +1
Image deblurring is a challenging problem in imaging due to its highly ill-posed nature. Deep learning models have shown great success in tackling this problem but the quest for th…
cs.CV2024
Deep Lidar-guided Image Deblurring
Ziyao Yi, Diego Valsesia, Tiziano Bianchi +1
The rise of portable Lidar instruments, including their adoption in smartphones, opens the door to novel computational imaging techniques. Being an active sensing instrument, Lidar…