528 citations · 578 across the 10 of their papers we have counts for
4 papers · 1 filter
Towards Visually Explaining Video Understanding Networks with Perturbation
Zhenqiang Li, Weimin Wang, Zuoyue Li +2
''Making black box models explainable'' is a vital problem that accompanies the development of deep learning networks. For networks taking visual information as input, one basic bu…
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds
Xuanyu Yin, Yoko Sasaki, Weimin Wang +1
Lidar based 3D object detection and classification tasks are essential for autonomous driving(AD). A lidar sensor can provide the 3D point cloud data reconstruction of the surround…
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud
Xuanyu YIN, Yoko SASAKI, Weimin WANG +1
Lidar based 3D object detection and classification tasks are essential for automated driving(AD). A Lidar sensor can provide the 3D point coud data reconstruction of the surroundin…
SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera
Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura +1
This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so, I see), for Light Detection and Ranging (LiDAR) and camera sensors. Previous online cali…