most citedA Scene-aware Models Adaptation Scheme for Cross-scene Online Inference on Mobile Devices

3 citations · 6 across the 9 of their papers we have counts for

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cs.CV2025

BlinkBud: Detecting Hazards from Behind via Sampled Monocular 3D Detection on a Single Earbud

Yunzhe Li, Jiajun Yan, Yuzhou Wei +7

Failing to be aware of speeding vehicles approaching from behind poses a huge threat to the road safety of pedestrians and cyclists. In this paper, we propose BlinkBud, which utili…

cs.CV2024★ 3 cited

A Scene-aware Models Adaptation Scheme for Cross-scene Online Inference on Mobile Devices

Yunzhe Li, Hongzi Zhu, Zhuohong Deng +5

Emerging Artificial Intelligence of Things (AIoT) applications desire online prediction using deep neural network (DNN) models on mobile devices. However, due to the movement of de…

cs.CV2024

SimGen: Simulator-conditioned Driving Scene Generation

Yunsong Zhou, Michael Simon, Zhenghao Peng +4

Controllable synthetic data generation can substantially lower the annotation cost of training data. Prior works use diffusion models to generate driving images conditioned on the…

cs.CV2024

Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension

Quan Liu, Hongzi Zhu, Zhenxi Wang +3

Registration of point clouds collected from a pair of distant vehicles provides a comprehensive and accurate 3D view of the driving scenario, which is vital for driving safety rela…

cs.CV2024★ 2 cited

Embodied Understanding of Driving Scenarios

Yunsong Zhou, Linyan Huang, Qingwen Bu +7

Embodied scene understanding serves as the cornerstone for autonomous agents to perceive, interpret, and respond to open driving scenarios. Such understanding is typically founded…