2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration
Chaoqun Wang, Yiran Qin, Zijian Kang +2
Recent camera-based 3D object detection is limited by the precision of transforming from image to 3D feature spaces, as well as the accuracy of object localization within the 3D sp…
cs.CV2023★ 2 cited
SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection
Yiran Qin, Chaoqun Wang, Zijian Kang +3
In this paper, we propose a novel training strategy called SupFusion, which provides an auxiliary feature level supervision for effective LiDAR-Camera fusion and significantly boos…
cs.CV2023
Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
Leheng Li, Qing Lian, Luozhou Wang +2
This work explores the use of 3D generative models to synthesize training data for 3D vision tasks. The key requirements of the generative models are that the generated data should…