Gerard Pons-Moll
Gerard Pons-Moll studies the meeting point of computer vision, graphics and machine learning. His work models human pose, shape, soft tissue and clothing from visual and motion-sensor data. He earned a doctorate from Hannover in February 2014. The thesis addressed human-pose estimation from video and inertial sensors. He received an Emmy Noether grant in 2018. His research programme develops statistical human-body models and algorithms to track and reconstruct people from images, video, depth measurements and inertial sensors. The laboratory announced in October 2025 that Pons-Moll and coauthors had received the PAMI Mark Everingham Prize for SMPL. It names Pons-Moll with co-authors Michael Black, Matthew Loper, Naureen Mahmood and Javier Romero.
- Works
- 178
- Citations
- 19,879
- h-index
- 56
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2014
Human-pose doctorate
He earned a doctorate from Hannover in February 2014. The thesis addressed human-pose estimation from video and inertial sensors.
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2018
Independent research support
He received an Emmy Noether grant in 2018. His research programme develops statistical human-body models and algorithms to track and reconstruct people from images, video, depth measurements and inertial sensors.
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2025
Shared SMPL recognition
The laboratory announced in October 2025 that Pons-Moll and coauthors had received the PAMI Mark Everingham Prize for SMPL. It names Pons-Moll with co-authors Michael Black, Matthew Loper, Naureen Mahmood and Javier Romero.
Sources and credits
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