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2203.15089
Cited By
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels
28 March 2022
Vitor Campagnolo Guizilini
Kuan-Hui Lee
Rares Ambrus
Adrien Gaidon
SSL
3DPC
MDE
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Papers citing
"Learning Optical Flow, Depth, and Scene Flow without Real-World Labels"
23 / 23 papers shown
Title
Estimating Scene Flow in Robot Surroundings with Distributed Miniaturized Time-of-Flight Sensors
Jack Sander
Giammarco Caroleo
A. Albini
P. Maiolino
40
0
0
03 Apr 2025
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images
Kun Huang
Fang-Lue Zhang
Fangfang Zhang
Yu-Kun Lai
Paul L. Rosin
N. Dodgson
32
0
0
04 Nov 2024
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
Xilin He
Cheng Luo
Xiaole Xian
Bing Li
Siyang Song
Muhammad Haris Khan
Weicheng Xie
L. Shen
Zongyuan Ge
30
4
0
13 Oct 2024
High-order regularization dealing with ill-conditioned robot localization problems
Xinghua Liu
Ming Cao
38
0
0
02 Oct 2024
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion
Vitor Campagnolo Guizilini
P. Tokmakov
Achal Dave
Rares Ambrus
DiffM
23
2
0
15 Sep 2024
Motor Focus: Ego-Motion Prediction with All-Pixel Matching
Hao Wang
Jiayou Qin
Xiwen Chen
Ashish Bastola
John Suchanek
Zihao Gong
Abolfazl Razi
29
1
0
25 Apr 2024
Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow
Hanyu Zhou
Yi Chang
Zhiwei Shi
Luxin Yan
40
6
0
12 Mar 2024
GeoFormer: A Vision and Sequence Transformer-based Approach for Greenhouse Gas Monitoring
Madhav Khirwar
Ankur Narang
22
0
0
11 Feb 2024
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
Yihong Sun
Bharath Hariharan
MDE
25
20
0
29 Oct 2023
Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow
Sheng-Chi Huang
Wei-Chen Chiu
24
0
0
03 Oct 2023
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation
Zhexiong Wan
Yuxin Mao
Jing Zhang
Yuchao Dai
3DPC
28
22
0
26 Sep 2023
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects
Zhengyang Lu
Ying Chen
3DPC
MDE
19
10
0
07 Sep 2023
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras
Aron Schmied
Tobias Fischer
Martin Danelljan
Marc Pollefeys
F. I. F. Richard Yu
3DV
18
27
0
28 Aug 2023
Robust Monocular Depth Estimation under Challenging Conditions
Stefano Gasperini
Nils Morbitzer
Hyunjun Jung
Nassir Navab
F. Tombari
21
45
0
18 Aug 2023
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Xingyu Miao
Yang Bai
Haoran Duan
Yawen Huang
Fan Wan
Xinxing Xu
Yang Long
Yefeng Zheng
MDE
16
16
0
14 Aug 2023
Towards Zero-Shot Scale-Aware Monocular Depth Estimation
Vitor Campagnolo Guizilini
Igor Vasiljevic
Di Chen
Rares Ambrus
Adrien Gaidon
MDE
27
75
0
29 Jun 2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
Cameron Smith
Yilun Du
A. Tewari
Vincent Sitzmann
3DH
13
27
0
31 May 2023
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion
Zeeshan Khan Suri
MDE
13
4
0
18 Apr 2023
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation
Y. Shi
H. Cai
Amin Ansari
Fatih Porikli
MDE
88
17
0
06 Apr 2023
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
Vitor Campagnolo Guizilini
Igor Vasiljevic
Jiading Fang
Rares Ambrus
Sergey Zakharov
Vincent Sitzmann
Adrien Gaidon
MDE
30
4
0
06 Apr 2023
Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains
Alexandra Dana
Nadav Carmel
Amit Shomer
O. Manela
Tomer Peleg
14
2
0
14 Mar 2023
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
L. Talker
Aviad Cohen
E. Yosef
Alexandra Dana
Michael Dinerstein
24
6
0
10 Dec 2022
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation
Yu Chen
Xuechun Cao
Xiaoyi Lin
Baoru Huang
Xiao-Yun Zhou
Jian-Qing Zheng
Guangzhong Yang
MDE
19
1
0
25 Aug 2022
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