54 citations · 305 across the 36 of their papers we have counts for
8 papers · 1 filter
Video-Based Reconstruction of the Trajectories Performed by Skiers
Matteo Dunnhofer, Alberto Zurini, Maurizio Dunnhofer +1
Trajectories are fundamental in different skiing disciplines. Tools enabling the analysis of such curves can enhance the training activity and enrich the broadcasting contents. How…
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network
Rao Muhammad Umer, Christian Micheloni
Modern digital cameras and smartphones mostly rely on image signal processing (ISP) pipelines to produce realistic colored RGB images. However, compared to DSLR cameras, low-qualit…
Resolution based Feature Distillation for Cross Resolution Person Re-Identification
Asad Munir, Chengjin Lyu, Bart Goossens +2
Person re-identification (re-id) aims to retrieve images of same identities across different camera views. Resolution mismatch occurs due to varying distances between person of int…
Is First Person Vision Challenging for Object Tracking?
Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella +1
Understanding human-object interactions is fundamental in First Person Vision (FPV). Tracking algorithms which follow the objects manipulated by the camera wearer can provide usefu…
A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
Rao Muhammad Umer, Asad Munir, Christian Micheloni
Recently, most of state-of-the-art single image super-resolution (SISR) methods have attained impressive performance by using deep convolutional neural networks (DCNNs). The existi…
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
Goutam Bhat, Martin Danelljan, Radu Timofte +25
This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times hig…