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Mengmeng Ge

2 accepted papers

2026

Ego-InBetween: Generating Object State Transitions in Ego-Centric Videos

CVPR 2026

Understanding physical transformation processes is crucial for both human cognition and artificial intelligence systems, particularly from an egocentric perspective, which serves as a key bridge between humans and machines in action modeling. We define this modeling process as Egocentric Instructed

Cited by 0SourceScholar
2022

Depth-Aware Vision-and-Language Navigation using Scene Query Attention Network

ICRA 2022poster

Vision-and-language navigation (VLN) has been an important task in the field of Robotics and Computer Vision. However, most existing vision-and-language navigation models only use features extracted from RGB observation as input, while robots can utilize depth sensors in the real world. Existing res…

Cited by 4SourceScholar