Liliane Momeni
Scholar

Liliane Momeni

Google Scholar ID: Lb-KgVYAAAAJ
University of Oxford
Computer VisionMachine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
834
 
H-index
11
 
i10-index
11
 
Publications
18
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - 'Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues', CVPR'25
  • - 'Verbs in Action: Improving verb understanding in video-language models', ICCV'23
  • - 'Weakly-supervised Fingerspelling Recognition in British Sign Language Videos', BMVC'22
  • - 'Automatic dense annotation of large-vocabulary sign language videos', ECCV'22
  • - 'Visual Keyword Spotting with Attention', BMVC'21
  • - 'Read and Attend: Temporal Localisation in Sign Language Videos', CVPR'21
  • - 'Signer Diarisation in The Wild', ICASSP'21
  • - 'Watch, read and lookup: learning to spot signs from multiple supervisors', ACCV'20
  • - 'Seeing wake words: Audio-visual Keyword Spotting', BMVC'20
  • - 'BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues', ECCV'20
  • - Awards:
  • - October 2024: Sullivan Thesis Prize
  • - September 2022: Google PhD Fellowship in Machine Perception
Research Experience
  • - April 2025: Paper 'Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues' accepted to CVPR'25
  • - October 2024: Joined Google DeepMind as a Research Scientist
  • - July 2023: Started a 6-month internship at Meta, working with Nicolas Carion
  • - September 2022: Awarded the Google PhD Fellowship in Machine Perception
  • - August 2022: Organized the workshop 'Sign Language Recognition, Translation and Production'
  • - July 2022: Started a 6-month internship at Google, working with Cordelia Schmid
  • - September 2020: Joined VGG as a PhD student, supervised by Prof. Andrew Zisserman
Education
  • - Doctoral Degree: 2024, Visual Geometry Group (VGG) at the University of Oxford, supervised by Prof. Andrew Zisserman
  • - Research Area: Computer Vision
Background
  • - Research Interests: Video understanding, Vision and Language, Multi-modal learning, Learning with weak supervision, Sign Language Recognition and Translation
  • - Professional Field: Computer Vision
  • - Brief Introduction: Research Scientist at Google DeepMind, focusing on video understanding and sign language recognition
Miscellany
  • - Personal interests and hobbies not mentioned