- '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