5 citations · 5 across the 2 of their papers we have counts for
7 papers
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
Toby Perrett, Alessandro Masullo, Tilo Burghardt +2
We propose a novel approach to few-shot action recognition, finding temporally-corresponding frame tuples between the query and videos in the support set. Distinct from previous fe…
Crystalline cohomology over general bases
A. M. Masullo
Building on ideas of Berthelot, we develop a crystalline cohomology formalism over divided power rings for any ring , allowing -flat . For a smooth…
Meta-Learning with Context-Agnostic Initialisations
Toby Perrett, Alessandro Masullo, Tilo Burghardt +2
Meta-learning approaches have addressed few-shot problems by finding initialisations suited for fine-tuning to target tasks. Often there are additional properties within training d…
Sit-to-Stand Analysis in the Wild using Silhouettes for Longitudinal Health Monitoring
Alessandro Masullo, Tilo Burghardt, Toby Perrett +2
We present the first fully automated Sit-to-Stand or Stand-to-Sit (StS) analysis framework for long-term monitoring of patients in free-living environments using video silhouettes.…
CaloriNet: From silhouettes to calorie estimation in private environments
Alessandro Masullo, Tilo Burghardt, Dima Damen +3
We propose a novel deep fusion architecture, CaloriNet, for the online estimation of energy expenditure for free living monitoring in private environments, where RGB data is discar…
Semantically Selective Augmentation for Deep Compact Person Re-Identification
Víctor Ponce-López, Tilo Burghardt, Sion Hannunna +3
We present a deep person re-identification approach that combines semantically selective, deep data augmentation with clustering-based network compression to generate high performa…