activity
20172025
most citedLook Ma, no markers: holistic performance capture without the hassle

17 citations · 23 across the 4 of their papers we have counts for

collaborators

10 papers

astro-ph.IM2025

Enhancing Fast Radio Transient Detection with Mask R-CNN Image Segmentation

Sergio Belmonte Diaz, Rene P. Breton, Zafiirah Hosenie +1

Traditionally, fast radio transient searches are conducted on dedispersed time series using thresholding techniques based on the statistical properties of the data. However, peaks…

cs.CV2025

VoluMe -- Authentic 3D Video Calls from Live Gaussian Splat Prediction

Martin de La Gorce, Charlie Hewitt, Tibor Takacs +6

Virtual 3D meetings offer the potential to enhance copresence, increase engagement and thus improve effectiveness of remote meetings compared to standard 2D video calls. However, r…

cs.CV2024★ 6 cited

Hairmony: Fairness-aware hairstyle classification

Givi Meishvili, James Clemoes, Charlie Hewitt +9

We present a method for prediction of a person's hairstyle from a single image. Despite growing use cases in user digitization and enrollment for virtual experiences, available met…

cs.CV2024★ 17 cited

Look Ma, no markers: holistic performance capture without the hassle

Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian +8

We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously. Motion-capture technologies used in film and game production typ…

astro-ph.IM2021

MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning

Zafiirah Hosenie, Steven Bloemen, Paul Groot +13

Astronomers require efficient automated detection and classification pipelines when conducting large-scale surveys of the (optical) sky for variable and transient sources. Such pip…

astro-ph.IM2020

Imbalance Learning for Variable Star Classification

Zafiirah Hosenie, Robert Lyon, Benjamin Stappers +2

The accurate automated classification of variable stars into their respective sub-types is difficult. Machine learning based solutions often fall foul of the imbalanced learning pr…