What You See Is What You Detect: Towards better Object Densification in
3D detection

What You See Is What You Detect: Towards better Object Densification in 3D detection

27 October 2023

Tianran Liu

Morteza Mousa Pasandi

Papers citing "What You See Is What You Detect: Towards better Object Densification in 3D detection"

8 / 8 papers shown

Title
Voxel Field Fusion for 3D Object Detection Yanwei Li Xiaojuan Qi Yukang Chen Liwei Wang Zeming Li Jian-jun Sun Jiaya Jia 108 79 0 31 May 2022
Dynamic Spatial Propagation Network for Depth Completion Y. Lin T. Cheng Qianglong Zhong Wending Zhou Huanhuan Yang 44 115 0 20 Feb 2022
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion Hanqi Zhu Jiajun Deng Yu Zhang J. Ji Qiuyu Mao Houqiang Li Yanyong Zhang 3DPC 35 135 0 29 Nov 2021
Multimodal Virtual Point 3D Detection Tianwei Yin Xingyi Zhou Philipp Krahenbuhl 3DPC 160 245 0 12 Nov 2021
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation Jonas Heylen Mark De Wolf Bruno Dawagne M. Proesmans Luc Van Gool Wim Abbeloos Hazem Abdelkawy Daniel Olmeda Reino 82 23 0 01 Oct 2021
PENet: Towards Precise and Efficient Image Guided Depth Completion Mu Hu Shuling Wang Bin Li Shiyu Ning Li Fan Xiaojin Gong MDE 100 273 0 01 Mar 2021
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection Jiajun Deng Shaoshuai Shi Pei-Cian Li Wen-gang Zhou Yanyong Zhang Houqiang Li 3DPC 228 660 0 31 Dec 2020
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 193 840 0 20 Dec 2020