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researcher

Beipeng Mu

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.IT1

identity via Semantic Scholar / OpenAlex

most citedResource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection

Xingyu Peng, Yan Bai, Chen Gao +5

Open-Vocabulary Detection (OVD) is the task of detecting all interesting objects in a given scene without predefined object classes. Extensive work has been done to deal with the O…

cs.CV2024

Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object Detection

Jiahui Fu, Chen Gao, Zitian Wang +4

Recent 3D object detectors typically utilize multi-sensor data and unify multi-modal features in the shared bird's-eye view (BEV) representation space. However, our empirical findi…

cs.IT2014★ 1 cited

Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance

Gregory E. Newstadt, Beipeng Mu, Dennis Wei +2

In sparse target inference problems it has been shown that significant gains can be achieved by adaptive sensing using convex criteria. We generalize previous work on adaptive sens…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.