2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Learning Occupancy for Monocular 3D Object Detection
Liang Peng, Junkai Xu, Haoran Cheng +6
Monocular 3D detection is a challenging task due to the lack of accurate 3D information. Existing approaches typically rely on geometry constraints and dense depth estimates to fac…
cs.CV2022★ 2 cited
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
Xiaopei Wu, Yang Zhao, Liang Peng +6
Current 3D object detection methods heavily rely on an enormous amount of annotations. Semi-supervised learning can be used to alleviate this issue. Previous semi-supervised 3D obj…
cs.DC2018★ 1 cited
CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles
Yifan Wang, Shaoshan Liu, Xiaopei Wu +1
Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of attention both from researchers and industry. Numerous studies targeting algorithms, softwa…