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Learning to Adapt for Stereo

Learning to Adapt for Stereo

5 April 2019
A. Tonioni
Oscar Rahnama
Thomas Joy
Luigi Di Stefano
Thalaiyasingam Ajanthan
Philip Torr
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Papers citing "Learning to Adapt for Stereo"

18 / 18 papers shown
Title
Diving into the Fusion of Monocular Priors for Generalized Stereo Matching
Diving into the Fusion of Monocular Priors for Generalized Stereo Matching
Chengtang Yao
Lidong Yu
Zhidan Liu
Jiaxi Zeng
Yuwei Wu
Yunde Jia
MDE
34
0
0
20 May 2025
RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalization
RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalization
Kai Yang
Zijian Bai
Yang Xiao
Xinyu Li
Xiaohan Shi
58
0
0
08 Mar 2025
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark
Shiao Wang
Xinyu Wang
Chao wang
Liye Jin
Lin Zhu
Bo Jiang
Yonghong Tian
Jin Tang
60
0
0
08 Feb 2025
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image
  Indoor Depth by Meta-Initialization
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization
Cho-Ying Wu
Yiqi Zhong
Junying Wang
Ulrich Neumann
MDE
85
0
0
04 Sep 2024
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
Ce Liu
Suryansh Kumar
Shuhang Gu
Radu Timofte
Yao Yao
Luc Van Gool
47
5
0
03 Jul 2024
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
62
17
0
11 Jul 2023
NeRF-Supervised Deep Stereo
NeRF-Supervised Deep Stereo
Fabio Tosi
A. Tonioni
Daniele De Gregorio
Matteo Poggi
MDE
46
42
0
30 Mar 2023
PointFix: Learning to Fix Domain Bias for Robust Online Stereo
  Adaptation
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
Kwonyoung Kim
Jungin Park
Jiyoung Lee
Dongbo Min
Kwanghoon Sohn
3DPC
36
4
0
27 Jul 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
Feng Yu
TTA
57
149
0
16 Jun 2022
On the Road to Online Adaptation for Semantic Image Segmentation
On the Road to Online Adaptation for Semantic Image Segmentation
Riccardo Volpi
Pau de Jorge
Diane Larlus
G. Csurka
OffRL
42
26
0
30 Mar 2022
Neural Disparity Refinement for Arbitrary Resolution Stereo
Neural Disparity Refinement for Arbitrary Resolution Stereo
Filippo Aleotti
Fabio Tosi
Pierluigi Zama Ramirez
Matteo Poggi
Samuele Salti
S. Mattoccia
Luigi Di Stefano
3DV
37
26
0
28 Oct 2021
Stereo Matching by Self-supervision of Multiscopic Vision
Stereo Matching by Self-supervision of Multiscopic Vision
Weihao Yuan
Yazhan Zhang
Bingkun Wu
Siyu Zhu
P. Tan
M. Y. Wang
Qifeng Chen
MDE
37
20
0
09 Apr 2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
Shanyan Guan
Jingwei Xu
Yunbo Wang
Bingbing Ni
Xiaokang Yang
3DH
40
50
0
30 Mar 2021
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Hiroki Sakuma
Yoshinori Konishi
40
2
0
26 Mar 2021
One to Many: Adaptive Instrument Segmentation via Meta Learning and
  Dynamic Online Adaptation in Robotic Surgical Video
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video
Zixu Zhao
Yueming Jin
Bo Lu
Chi-Fai Ng
Qi Dou
Yunhui Liu
Pheng-Ann Heng
32
24
0
24 Mar 2021
Reversing the cycle: self-supervised deep stereo through enhanced
  monocular distillation
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation
Filippo Aleotti
Fabio Tosi
Li Zhang
Matteo Poggi
S. Mattoccia
SSL
MDE
32
52
0
17 Aug 2020
Domain-invariant Stereo Matching Networks
Domain-invariant Stereo Matching Networks
Feihu Zhang
Xiaojuan Qi
Ruigang Yang
V. Prisacariu
B. Wah
Philip Torr
OOD
23
168
0
29 Nov 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
635
11,762
0
09 Mar 2017
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