9 citations · 12 across the 2 of their papers we have counts for
4 papers
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
Yonglin Tian, Lichao Huang, Xuesong Li +3
Varying density of point clouds increases the difficulty of 3D detection. In this paper, we present a context-aware dynamic network (CADNet) to capture the variance of density by c…
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection
Yonglin Tian, Kunfeng Wang, Yuang Wang +3
This paper focuses on the construction of stronger local features and the effective fusion of image and LiDAR data. We adopt different modalities of LiDAR data to generate richer f…
Training and Testing Object Detectors with Virtual Images
Yonglin Tian, Xuan Li, Kunfeng Wang +1
In the area of computer vision, deep learning has produced a variety of state-of-the-art models that rely on massive labeled data. However, collecting and annotating images from th…
The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research
Xuan Li, Kunfeng Wang, Yonglin Tian +2
Video image datasets are playing an essential role in design and evaluation of traffic vision algorithms. Nevertheless, a longstanding inconvenience concerning image datasets is th…