PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint
Cloud Detection

PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection

International Conference on 3D Vision (3DV), 2020

17 December 2020

ArXiv (abs)PDF HTML

Papers citing "PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection"

5 / 5 papers shown

Title
Geometrically-driven Aggregation for Zero-shot 3D Point Cloud UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023 Guofeng Mei Luigi Riz Yiming Wang Fabio Poiesi 3DPC 392 12 0 04 Dec 2023
ImpDet: Exploring Implicit Fields for 3D Object DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Xuelin Qian Li Wang Yishuang Zhu Li Zhang Yanwei Fu Xiangyang Xue 3DPC 233 6 0 31 Mar 2022
CVFNet: Real-time 3D Object Detection by Learning Cross View FeaturesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Jiaqi Gu Z. Xiang Pan Zhao Tingming Bai Lingxuan Wang Xijun Zhao Zhiyuan Zhang 3DPC 166 13 0 13 Mar 2022
Semi-supervised 3D Object Detection via Temporal Graph Neural NetworksInternational Conference on 3D Vision (3DV), 2021 Jianren Wang Haiming Gang Siddarth Ancha Yi-Ting Chen David Held 3DPC 335 16 0 01 Feb 2022
Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level Estimation Yantao Lu Xuetao Hao Yilan Li Weiheng Chai Shiqi Sun Senem Velipasalar 3DPC 293 10 0 18 Nov 2021