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Gang Ye

2 accepted papers

2024

BEE-Net: Bridging Semantic and Instance with Gated Encoding and Edge Constraint for Efficient Panoptic Segmentation

ICRA 2024poster

Panoptic segmentation is a challenging perception task, which can help robots to comprehensively perceive the surrounding environment. In the task, we notice that semantic, instance, and panoptic have rich relations, however, which are rarely explored. In this work, we propose a novel panoptic, inst…

Cited by 0SourceScholar
2024

CVFormer: Learning Circum-View Representation and Consistency for Vision-Based Occupancy Prediction via Transformers

ICRA 2024poster

With the increasing demands for perception accuracy in autonomous driving, there is a growing focus on fine-grained 3D semantic occupancy prediction. Effectively representing detailed three-dimensional scenes has become a significant challenge in the development of this task. In this paper, we prese…

Cited by 0SourceScholar