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cs.CV2024
Lift, Splat, Map: Lifting Foundation Masks for Label-Free Semantic Scene Completion
Arthur Zhang, Rainier Heijne, Joydeep Biswas
Autonomous mobile robots deployed in urban environments must be context-aware, i.e., able to distinguish between different semantic entities, and robust to occlusions. Current appr…
cs.CV2023
Looking Inside Out: Anticipating Driver Intent From Videos
Yung-chi Kung, Arthur Zhang, Junmin Wang +1
Anticipating driver intention is an important task when vehicles of mixed and varying levels of human/machine autonomy share roadways. Driver intention can be leveraged to improve…
cs.CV2022
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments
Joey Wilson, Jingyu Song, Yuewei Fu +5
This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes. Our data set is formed from random…