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Forget About the LiDAR: Self-Supervised Depth Estimators with MED
  Probability Volumes
v1v2 (latest)

Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes

Neural Information Processing Systems (NeurIPS), 2020
9 August 2020
Juan Luis Gonzalez
Munchurl Kim
ArXiv (abs)PDFHTML

Papers citing "Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes"

50 / 82 papers shown
Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
Wenyao Zhang
Hongsi Liu
Bohan Li
Jiawei He
Zekun Qi
Yunnan Wang
Shengyang Zhao
Xinqiang Yu
Wenjun Zeng
Jianfeng Dong
VLMMDE
234
3
0
10 Oct 2025
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces
Pierluigi Zama Ramirez
Fabio Tosi
Luigi Di Stefano
Radu Timofte
Alex Costanzino
...
Jing Cao
Shenyi Li
Kui Jiang
Junjun Jiang
Y. Huang
MDE
257
27
0
06 Jun 2025
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos
Ruoyu Wang
Yi Ma
Shenghua Gao
403
1
0
19 May 2025
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
Jiyuan Wang
Chunyu Lin
Cheng Guan
Lang Nie
Jing He
Haodong Li
K. Liao
Yao Zhao
DiffMMDE
469
14
0
20 Mar 2025
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and
  Multi-frame Monocular Depth Estimation
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation
Jinfeng Liu
Lingtong Kong
Bo Li
Zerong Wang
Hong Gu
Jinwei Chen
MDE
276
14
0
19 Jul 2024
MambaDepth: Enhancing Long-range Dependency for Self-Supervised
  Fine-Structured Monocular Depth Estimation
MambaDepth: Enhancing Long-range Dependency for Self-Supervised Fine-Structured Monocular Depth Estimation
Ionuţ Grigore
Călin-Adrian Popa
MambaMDE
423
7
0
06 Jun 2024
A Pixel Is Worth More Than One 3D Gaussians in Single-View 3D
  Reconstruction
A Pixel Is Worth More Than One 3D Gaussians in Single-View 3D Reconstruction
Jianghao Shen
Nan Xue
Tianfu Wu
3DGS
394
3
0
30 May 2024
Boosting Self-Supervision for Single-View Scene Completion via Knowledge
  Distillation
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
Keonhee Han
Dominik Muhle
Felix Wimbauer
Zorah Lähner
202
5
0
11 Apr 2024
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV &
  CribsTV
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV
Jaime Spencer
Chris Russell
Simon Hadfield
Richard Bowden
MDE
275
7
0
03 Mar 2024
SDGE: Stereo Guided Depth Estimation for 360$^\circ$ Camera Sets
SDGE: Stereo Guided Depth Estimation for 360∘^\circ∘ Camera Sets
Jialei Xu
Wei Yin
Dong Gong
Junjun Jiang
Xianming Liu
MDE
625
4
0
19 Feb 2024
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth
  Estimation of Dynamic Objects with Ground Contact Prior
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact PriorComputer Vision and Pattern Recognition (CVPR), 2023
Jaeho Moon
J. P. Bello
Byeongjun Kwon
Munchurl Kim
313
17
0
15 Dec 2023
Novel View Synthesis with View-Dependent Effects from a Single Image
Novel View Synthesis with View-Dependent Effects from a Single ImageComputer Vision and Pattern Recognition (CVPR), 2023
J. P. Bello
Munchurl Kim
340
3
0
13 Dec 2023
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable
  Uncertainty
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Rémi Marsal
F. Chabot
Angélique Loesch
William Grolleau
H. Sahbi
MDEUQCV
259
19
0
10 Nov 2023
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for
  Indoor Scenes
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesIEEE International Conference on Computer Vision (ICCV), 2023
Chaoqiang Zhao
Matteo Poggi
Fabio Tosi
Lei Zhou
Qiyu Sun
Yang Tang
S. Mattoccia
MDE
319
26
0
26 Sep 2023
Towards Better Data Exploitation in Self-Supervised Monocular Depth
  Estimation
Towards Better Data Exploitation in Self-Supervised Monocular Depth EstimationIEEE Robotics and Automation Letters (RA-L), 2023
Jinfeng Liu
Lingtong Kong
J. Yang
Wen Liu
MDE
297
13
0
11 Sep 2023
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting
  Ego-Motion Rigidity
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion RigidityIEEE International Conference on Computer Vision (ICCV), 2023
Zijie Jiang
Masatoshi Okutomi
MDE
307
4
0
04 Sep 2023
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular
  Self-supervised Depth Estimation
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth EstimationIEEE International Conference on Computer Vision (ICCV), 2023
Zhengming Zhou
Qiulei Dong
MDE
230
13
0
02 Sep 2023
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth
  Estimation
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationAAAI Conference on Artificial Intelligence (AAAI), 2023
Youhong Wang
Yunji Liang
Hao Xu
Shaohui Jiao
Hongkai Yu
MDE
229
55
0
01 Sep 2023
Learning Depth Estimation for Transparent and Mirror Surfaces
Learning Depth Estimation for Transparent and Mirror SurfacesIEEE International Conference on Computer Vision (ICCV), 2023
Alex Costanzino
Pierluigi Zama Ramirez
Matteo Poggi
Fabio Tosi
S. Mattoccia
Luigi Di Stefano
MDE
263
38
0
27 Jul 2023
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVIEEE International Conference on Computer Vision (ICCV), 2023
Jaime Spencer
Chris Russell
Simon Hadfield
Richard Bowden
MDE
220
22
0
20 Jul 2023
HQDec: Self-Supervised Monocular Depth Estimation Based on a
  High-Quality Decoder
HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder
Fei Wang
Jun Cheng
387
5
0
30 May 2023
Single-View View Synthesis with Self-Rectified Pseudo-Stereo
Single-View View Synthesis with Self-Rectified Pseudo-StereoInternational Journal of Computer Vision (IJCV), 2023
Yang Zhou
Han-Zhen Wu
Wenxi Liu
Zheng Xiong
Jing Qin
Shengfeng He
3DV
230
10
0
19 Apr 2023
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative
  Epipolar Sampling and Refinement Toward Equilibrium
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward EquilibriumComputer Vision and Pattern Recognition (CVPR), 2023
Antyanta Bangunharcana
A. Magd
Kyung-soo Kim
MDE
399
24
0
07 Apr 2023
Booster: a Benchmark for Depth from Images of Specular and Transparent
  Surfaces
Booster: a Benchmark for Depth from Images of Specular and Transparent SurfacesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Pierluigi Zama Ramirez
Alex Costanzino
Fabio Tosi
Matteo Poggi
Samuele Salti
S. Mattoccia
Luigi Di Stefano
MDE
230
37
0
19 Jan 2023
Behind the Scenes: Density Fields for Single View Reconstruction
Behind the Scenes: Density Fields for Single View Reconstruction
Felix Wimbauer
Nan Yang
Christian Rupprecht
Zorah Lähner
MDE
436
67
0
18 Jan 2023
The Monocular Depth Estimation Challenge
The Monocular Depth Estimation Challenge
Jaime Spencer
Chao Qian
Chris Russell
Simon Hadfield
E. Graf
...
Fabio Tosi
Hao Wang
Youming Zhang
Yusheng Zhang
Chaoqiang Zhao
MDE
226
25
0
22 Nov 2022
Frequency-Aware Self-Supervised Monocular Depth Estimation
Frequency-Aware Self-Supervised Monocular Depth EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Xingyu Chen
Thomas H. Li
Ruonan Zhang
Ge Li
MDE
300
18
0
11 Oct 2022
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised
  Monocular Depth Estimation
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth EstimationIEEE Robotics and Automation Letters (RA-L), 2022
Peizhe Jiang
Wei Yang
Xiaoqing Ye
Xiao Tan
Meng Wu
MDE
186
1
0
08 Oct 2022
PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes
PlaneDepth: Self-supervised Depth Estimation via Orthogonal PlanesComputer Vision and Pattern Recognition (CVPR), 2022
Ruoyu Wang
Zehao Yu
Shenghua Gao
MDE
317
48
0
04 Oct 2022
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening
  Problem
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening ProblemIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Xingyu Chen
Ruonan Zhang
Ji Jiang
Yan Wang
Ge Li
Thomas H. Li
MQMDE
490
33
0
02 Oct 2022
Self-distilled Feature Aggregation for Self-supervised Monocular Depth
  Estimation
Self-distilled Feature Aggregation for Self-supervised Monocular Depth EstimationEuropean Conference on Computer Vision (ECCV), 2022
Zhengming Zhou
Qiulei Dong
MDE
224
35
0
15 Sep 2022
DevNet: Self-supervised Monocular Depth Learning via Density Volume
  Construction
DevNet: Self-supervised Monocular Depth Learning via Density Volume ConstructionEuropean Conference on Computer Vision (ECCV), 2022
Kaichen Zhou
Lanqing Hong
Changhao Chen
Hang Xu
Chao Ye
Qingyong Hu
Zhenguo Li
MDE
465
36
0
14 Sep 2022
SimpleRecon: 3D Reconstruction Without 3D Convolutions
SimpleRecon: 3D Reconstruction Without 3D ConvolutionsEuropean Conference on Computer Vision (ECCV), 2022
Mohamed Sayed
J. Gibson
Jamie Watson
V. Prisacariu
Michael Firman
Clément Godard
3DV
251
124
0
31 Aug 2022
Deconstructing Self-Supervised Monocular Reconstruction: The Design
  Decisions that Matter
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer Martin
Chris Russell
Simon Hadfield
Richard Bowden
MDE
407
25
0
02 Aug 2022
Positional Information is All You Need: A Novel Pipeline for
  Self-Supervised SVDE from Videos
Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos
J. P. Bello
Jaeho Moon
Munchurl Kim
3DPC
203
5
0
18 May 2022
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised
  Monocular Depth Estimation
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth EstimationACM Multimedia (ACM MM), 2022
Zhengming Zhou
Qiulei Dong
MDE
229
21
0
21 Mar 2022
Fast Neural Architecture Search for Lightweight Dense Prediction
  Networks
Fast Neural Architecture Search for Lightweight Dense Prediction Networks
Lam Huynh
Esa Rahtu
Juan E. Sala Matas
J. Heikkilä
263
2
0
03 Mar 2022
ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson
Tomoki Hayashi
Keisuke Fujii
Alexander Carballo
Kento Ohtani
K. Takeda
SSL
336
5
0
24 Nov 2021
Learning Generalized Visual Odometry Using Position-Aware Optical Flow
  and Geometric Bundle Adjustment
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle AdjustmentPattern Recognition (Pattern Recogn.), 2021
Yijun Cao
Xian-Shi Zhang
Fuya Luo
Peng Peng
Yongjie Li
376
12
0
22 Nov 2021
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Hang Zhou
David Greenwood
Sarah Taylor
SSLMDE
347
141
0
18 Oct 2021
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for
  Consistent Self-Supervised Monocular Depth Estimation
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
Patrick Ruhkamp
Daoyi Gao
Hanzhi Chen
Nassir Navab
Benjamin Busam
ViTMDE
259
42
0
15 Oct 2021
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with
  Self-Supervised Depth Estimation
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationInternational Journal of Computer Vision (IJCV), 2021
Lukas Hoyer
Dengxin Dai
Qin Wang
Yuhua Chen
Luc Van Gool
MDE
284
46
0
28 Aug 2021
Lightweight Monocular Depth with a Novel Neural Architecture Search
  Method
Lightweight Monocular Depth with a Novel Neural Architecture Search MethodIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Lam Huynh
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
199
11
0
25 Aug 2021
Monocular Depth Estimation Primed by Salient Point Detection and
  Normalized Hessian Loss
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian LossInternational Conference on 3D Vision (3DV), 2021
Lam Huynh
Matteo Pedone
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
MDE3DPC
217
4
0
25 Aug 2021
Self-Supervised Learning of Domain Invariant Features for Depth
  Estimation
Self-Supervised Learning of Domain Invariant Features for Depth EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Hiroyasu Akada
S. Bhat
Ibraheem Alhashim
Peter Wonka
OODSSLMDE
339
16
0
04 Jun 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular DepthComputer Vision and Pattern Recognition (CVPR), 2021
Jamie Watson
Oisin Mac Aodha
V. Prisacariu
Gabriel J. Brostow
Michael Firman
MDE
328
343
0
29 Apr 2021
Transformer-Based Attention Networks for Continuous Pixel-Wise
  Prediction
Transformer-Based Attention Networks for Continuous Pixel-Wise PredictionIEEE International Conference on Computer Vision (ICCV), 2021
Guanglei Yang
Hao Tang
M. Ding
Andrii Zadaianchuk
Elisa Ricci
ViT
460
234
0
22 Mar 2021
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View
  Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting LossComputer Vision and Pattern Recognition (CVPR), 2021
J. P. Bello
Munchurl Kim
3DVMDE
277
52
0
12 Mar 2021
Towards Continual, Online, Self-Supervised Depth
Towards Continual, Online, Self-Supervised Depth
Muhammad Umar Karim Khan
TTACLL
437
2
0
28 Feb 2021
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and
  Benchmark under Multiple Environments
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Hanjiang Hu
B. Yang
Zhijian Qiao
Shiqi Liu
Weiang Shi
Zuxin Liu
Wenhao Ding
Ding Zhao
Hesheng Wang
VLMMDE
652
17
0
09 Nov 2020
12
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