50 citations · 196 across the 45 of their papers we have counts for
3 papers · 1 filter
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…
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu, Haoyuan Mu, Xiangyu Zhang +3
Recent research on super-resolution has achieved great success due to the development of deep convolutional neural networks (DCNNs). However, super-resolution of arbitrary scale fa…