◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Sarah Taylor

3 papers hereh-index 5187 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.HC1
same name
  • Sarah Taylor — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSelf-Supervised Monocular Depth Estimation with Internal Feature Fusion

58 citations · 60 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2024

LLAniMAtion: LLAMA Driven Gesture Animation

Jonathan Windle, Iain Matthews, Sarah Taylor

Co-speech gesturing is an important modality in conversation, providing context and social cues. In character animation, appropriate and synchronised gestures add realism, and can…

cs.CV2021★ 58 cited

Self-Supervised Monocular Depth Estimation with Internal Feature Fusion

Hang Zhou, David Greenwood, Sarah Taylor

Self-supervised learning for depth estimation uses geometry in image sequences for supervision and shows promising results. Like many computer vision tasks, depth network performan…

cs.CV2021★ 2 cited

SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation

Hang Zhou, Sarah Taylor, David Greenwood +1

We propose SUB-Depth, a universal multi-task training framework for self-supervised monocular depth estimation (SDE). Depth models trained with SUB-Depth outperform the same models…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.