Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network

15 July 2021

Papers citing "Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network"

9 / 9 papers shown

Title
SpINR: Neural Volumetric Reconstruction for FMCW Radars Harshvardhan Takawale Nirupam Roy 30 0 0 30 Mar 2025
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions Ziyao Zeng Yangchao Wu Hyoungseob Park Daniel Wang Fengyu Yang Stefano Soatto Dong Lao Byung-Woo Hong Alex Wong MDE 22 7 0 03 Oct 2024
LiDAR Meta Depth Completion Wolfgang Boettcher Lukas Hoyer Ozan Unal Ke Li Dengxin Dai 25 1 0 24 Jul 2023
RCDPT: Radar-Camera fusion Dense Prediction Transformer Chen-Chou Lo P. Vandewalle ViT MDE 30 13 0 04 Nov 2022
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation Zhenyu Li Xuyang Wang Xianming Liu Junjun Jiang MDE 24 191 0 03 Apr 2022
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression Xuanlong Yu Gianni Franchi Emanuel Aldea UQCV 32 2 0 24 Feb 2022
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision J. Suo Weihang Zhang Jin Gong Xin Yuan D. Brady Qionghai Dai 40 23 0 18 Sep 2021
RVMDE: Radar Validated Monocular Depth Estimation for Robotics Muhamamd Ishfaq Hussain M. Rafique M. Jeon MDE 31 11 0 11 Sep 2021
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 197 1,708 0 06 Jun 2018