Deep vanishing point detection: Geometric priors make dataset variations vanish

16 March 2022

Papers citing "Deep vanishing point detection: Geometric priors make dataset variations vanish"

7 / 7 papers shown

Title
ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Xingchen Li L. Wang Yu Sheng ZhiPeng Tang Haojie Ren Guoliang You YiFan Duan Jianmin Ji Yanyong Zhang 29 0 0 10 May 2025
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow Yancong Lin Shiming Wang Liangliang Nan Julian F. P. Kooij Holger Caesar 3DPC 119 1 0 28 Mar 2025
Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection Anurag Ghosh Dinesh Reddy Narapureddy Christoph Mertz S. Narasimhan 28 4 0 25 Mar 2023
Deep Learning for Camera Calibration and Beyond: A Survey K. Liao Lang Nie Shujuan Huang Chunyu Lin Jing Zhang Yao Zhao Moncef Gabbouj Dacheng Tao 46 25 0 19 Mar 2023
SensorX2car: Sensors-to-car calibration for autonomous driving in road scenarios Guohang Yan Zhaotong Luo Zhuochun Liu Yikang Li 11 8 0 18 Jan 2023
Zero-Shot Day-Night Domain Adaptation with a Physics Prior A. Lengyel Sourav Garg Michael Milford J. C. V. Gemert 39 57 0 11 Aug 2021
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection Florian Kluger H. Ackermann M. Yang Bodo Rosenhahn 3DPC 44 46 0 08 Jul 2017