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@inproceedings{poggi2017quantitative,
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@article{poggi2021confidence,
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@inproceedings{schops2017multi,
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@InProceedings{Yang_2019_CVPR,
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title = {DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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@inproceedings{wang2019web,
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  booktitle={2019 International Conference on 3D Vision (3DV)},
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@inproceedings{wang2019flickr1024,
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@InProceedings{Ramirez_2022_CVPR,
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    title     = {Open Challenges in Deep Stereo: The Booster Dataset},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {21168-21178}
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@article{hua2020holopix50k,
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  year={2020}
}

@article{bao2020instereo2k,
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@InProceedings{Treible_2017_CVPR,
author = {Treible, Wayne and Saponaro, Philip and Sorensen, Scott and Kolagunda, Abhishek and O'Neal, Michael and Phelan, Brian and Sherbondy, Kelly and Kambhamettu, Chandra},
title = {CATS: A Color and Thermal Stereo Benchmark},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}

@inproceedings{zhi2018deep,
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  year={2018}
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@article{zhu2018multivehicle,
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@article{gehrig2021dsec,
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@inproceedings{tosi2022rgb,
  title={RGB-Multispectral matching: Dataset, learning methodology, evaluation},
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@inproceedings{chaney2023m3ed,
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  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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  year={2023}
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@inproceedings{walz2023gated,
  title={Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues},
  author={Walz, Stefanie and Bijelic, Mario and Ramazzina, Andrea and Walia, Amanpreet and Mannan, Fahim and Heide, Felix},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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  year={2023}
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@InProceedings{Shin_2023_CVPR,
    author    = {Shin, Ukcheol and Park, Jinsun and Kweon, In So},
    title     = {Deep Depth Estimation From Thermal Image},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {1043-1053}
}

@inproceedings{butler2012naturalistic,
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@article{cabon2020virtual,
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  year={2020}
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@inproceedings{wang2020tartanair,
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  author={Wang, Wenshan and Zhu, Delong and Wang, Xiangwei and Hu, Yaoyu and Qiu, Yuheng and Wang, Chen and Hu, Yafei and Kapoor, Ashish and Scherer, Sebastian},
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  year={2020},
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@inproceedings{he2021semi,
  title={Semi-synthesis: A fast way to produce effective datasets for stereo matching},
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  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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@inproceedings{wang2021irs,
  title={Irs: A large naturalistic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation},
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  booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)},
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  year={2021},
  organization={IEEE}
}

@article{jospin2022active,
  title={Active-Passive SimStereo-Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods},
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  journal={Advances in Neural Information Processing Systems},
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@InProceedings{Mehl2023,
    author    = {Lukas Mehl and Jenny Schmalfuss and Azin Jahedi and Yaroslava Nalivayko and Andr\'es Bruhn},
    title     = {Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo},
    booktitle = {Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year      = {2023}
}

@inproceedings{chen2015deep_Deep_Embed,
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@article{vzbontar2016stereo_MC-CNN,
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@inproceedings{zbontar2015computing,
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@inproceedings{luo2016efficient,
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@article{park2016look,
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@article{zhang2017fundamental,
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@inproceedings{tulyakov2017weakly,
  title={Weakly supervised learning of deep metrics for stereo reconstruction},
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  year={2017}
}

@inproceedings{batsos2018cbmv,
  title={CBMV: A coalesced bidirectional matching volume for disparity estimation},
  author={Batsos, Konstantinos and Cai, Changjiang and Mordohai, Philippos},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
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  year={2018}
}

@inproceedings{schuster2019sdc,
  title={Sdc-stacked dilated convolution: A unified descriptor network for dense matching tasks},
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  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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  year={2019}
}

@inproceedings{mao2019semi,
  title={Semi-dense stereo matching using dual CNNs},
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  booktitle={2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages={1588--1597},
  year={2019},
  organization={IEEE}
}

@inproceedings{spyropoulos2014learning,
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}

@inproceedings{park2015leveraging,
  title={Leveraging stereo matching with learning-based confidence measures},
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}

@inproceedings{seki2017sgm,
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  year={2017}
}

@inproceedings{gidaris2017detect,
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  year={2017}
}

@article{ye2017efficient,
  title={Efficient stereo matching leveraging deep local and context information},
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  year={2017},
  publisher={IEEE}
}

@inproceedings{batsos2018recresnet,
  title={Recresnet: A recurrent residual cnn architecture for disparity map enhancement},
  author={Batsos, Konstantinos and Mordohai, Philippos},
  booktitle={2018 International Conference on 3D Vision (3DV)},
  pages={238--247},
  year={2018},
  organization={IEEE}
}

@inproceedings{jie2018left,
  title={Left-right comparative recurrent model for stereo matching},
  author={Jie, Zequn and Wang, Pengfei and Ling, Yonggen and Zhao, Bo and Wei, Yunchao and Feng, Jiashi and Liu, Wei},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
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  year={2018}
}

@article{knobelreiter2021learned,
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  author={Kn{\"o}belreiter, Patrick and Pock, Thomas},
  journal={International Journal of Computer Vision},
  volume={129},
  pages={2565--2582},
  year={2021},
  publisher={Springer}
}

@inproceedings{ferrera2019fast,
  title={Fast stereo disparity maps refinement by fusion of data-based and model-based estimations},
  author={Ferrera, Maxime and Boulch, Alexandre and Moras, Julien},
  booktitle={2019 International Conference on 3D Vision (3DV)},
  pages={9--17},
  year={2019},
  organization={IEEE}
}

@inproceedings{mayer2016large,
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  author={Mayer, Nikolaus and Ilg, Eddy and Hausser, Philip and Fischer, Philipp and Cremers, Daniel and Dosovitskiy, Alexey and Brox, Thomas},
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  pages={4040--4048},
  year={2016}
}

@inproceedings{pang2017cascade,
  title={Cascade residual learning: A two-stage convolutional neural network for stereo matching},
  author={Pang, Jiahao and Sun, Wenxiu and Ren, Jimmy SJ and Yang, Chengxi and Yan, Qiong},
  booktitle={Proceedings of the IEEE international conference on computer vision workshops},
  pages={887--895},
  year={2017}
}

@inproceedings{liang2018learning_iResNet,
  title={Learning for disparity estimation through feature constancy},
  author={Liang, Zhengfa and Feng, Yiliu and Guo, Yulan and Liu, Hengzhu and Chen, Wei and Qiao, Linbo and Zhou, Li and Zhang, Jianfeng},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2811--2820},
  year={2018}
}

@inproceedings{ilg2018occlusions,
  title={Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation},
  author={Ilg, Eddy and Saikia, Tonmoy and Keuper, Margret and Brox, Thomas},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={614--630},
  year={2018}
}

@inproceedings{saikia2019autodispnet,
  title={Autodispnet: Improving disparity estimation with automl},
  author={Saikia, Tonmoy and Marrakchi, Yassine and Zela, Arber and Hutter, Frank and Brox, Thomas},
  booktitle={Proceedings of the ieee/cvf international conference on computer vision},
  pages={1812--1823},
  year={2019}
}

@inproceedings{yin2019hierarchical,
  title={Hierarchical discrete distribution decomposition for match density estimation},
  author={Yin, Zhichao and Darrell, Trevor and Yu, Fisher},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={6044--6053},
  year={2019}
}

@inproceedings{song2019edgestereo,
  title={Edgestereo: A context integrated residual pyramid network for stereo matching},
  author={Song, Xiao and Zhao, Xu and Hu, Hanwen and Fang, Liangji},
  booktitle={Computer Vision--ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2--6, 2018, Revised Selected Papers, Part V 14},
  pages={20--35},
  year={2019},
  organization={Springer}
}

@inproceedings{xu2020aanet,
  title={Aanet: Adaptive aggregation network for efficient stereo matching},
  author={Xu, Haofei and Zhang, Juyong},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={1959--1968},
  year={2020}
}

@InProceedings{Badki_2020_CVPR_Bi3D,
author = {Badki, Abhishek and Troccoli, Alejandro and Kim, Kihwan and Kautz, Jan and Sen, Pradeep and Gallo, Orazio},
title = {Bi3D: Stereo Depth Estimation via Binary Classifications},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

@inproceedings{kendall2017end_GC-NET,
  title={End-to-end learning of geometry and context for deep stereo regression},
  author={Kendall, Alex and Martirosyan, Hayk and Dasgupta, Saumitro and Henry, Peter and Kennedy, Ryan and Bachrach, Abraham and Bry, Adam},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={66--75},
  year={2017}
}

@inproceedings{yu2018deep,
  title={Deep stereo matching with explicit cost aggregation sub-architecture},
  author={Yu, Lidong and Wang, Yucheng and Wu, Yuwei and Jia, Yunde},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={32},
  number={1},
  year={2018}
}

@inproceedings{chang2018pyramid,
  title={Pyramid Stereo Matching Network},
  author={Chang, Jia-Ren and Chen, Yong-Sheng},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={5410--5418},
  year={2018}
}

@inproceedings{yang2019hierarchical,
  title={Hierarchical deep stereo matching on high-resolution images},
  author={Yang, Gengshan and Manela, Joshua and Happold, Michael and Ramanan, Deva},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5515--5524},
  year={2019}
}

@inproceedings{guo2019group,
  title={Group-wise correlation stereo network},
  author={Guo, Xiaoyang and Yang, Kai and Yang, Wukui and Wang, Xiaogang and Li, Hongsheng},
  booktitle=CVPR,
  year={2019}
}

@InProceedings{Nie_2019_CVPR,
author = {Nie, Guang-Yu and Cheng, Ming-Ming and Liu, Yun and Liang, Zhengfa and Fan, Deng-Ping and Liu, Yue and Wang, Yongtian},
title = {Multi-Level Context Ultra-Aggregation for Stereo Matching},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}

@article{cheng2019learning,
  title={Learning depth with convolutional spatial propagation network},
  author={Cheng, Xinjing and Wang, Peng and Yang, Ruigang},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={42},
  number={10},
  pages={2361--2379},
  year={2019},
  publisher={IEEE}
}

@inproceedings{zhang2019ga,
  title={Ga-net: Guided aggregation net for end-to-end stereo matching},
  author={Zhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip HS},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={185--194},
  year={2019}
}

@inproceedings{chabra2019stereodrnet,
  title={Stereodrnet: Dilated residual stereonet},
  author={Chabra, Rohan and Straub, Julian and Sweeney, Christopher and Newcombe, Richard and Fuchs, Henry},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={11786--11795},
  year={2019}
}

@article{tulyakov2018practical,
  title={Practical deep stereo (pds): Toward applications-friendly deep stereo matching},
  author={Tulyakov, Stepan and Ivanov, Anton and Fleuret, Francois},
  journal={Advances in neural information processing systems},
  volume={31},
  year={2018}
}

@InProceedings{Gu_2020_CVPR_CasStereo,
author = {Gu, Xiaodong and Fan, Zhiwen and Zhu, Siyu and Dai, Zuozhuo and Tan, Feitong and Tan, Ping},
title = {Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

@inproceedings{yang2020waveletstereo,
  title={WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching},
  author={Yang, Shunsuke and Ikehata, Yohsuke and Kawasaki, Hiroshi},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3444--3453},
  year={2020}
}

@inproceedings{shen2021cfnet,
  title={CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching},
  author={Shen, Zhelun and Dai, Yuchao and Rao, Zhibo},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={13906--13915},
  year={2021}
}

@InProceedings{Mao_2021_ICCV_UASNet,
    author    = {Mao, Yamin and Liu, Zhihua and Li, Weiming and Dai, Yuchao and Wang, Qiang and Kim, Yun-Tae and Lee, Hong-Seok},
    title     = {UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {6311-6319}
}

@inproceedings{deng2021parallax,
  title={Parallax contextual representations for stereo matching},
  author={Deng, Hui and Liao, Qingmin and Lu, Zongqing and Xue, Jing-Hao},
  booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
  pages={3193--3197},
  year={2021},
  organization={IEEE}
}

@inproceedings{shen2022pcw,
  title={PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching},
  author={Shen, Zhelun and Dai, Yuchao and Song, Xibin and Rao, Zhibo and Zhou, Dingfu and Zhang, Liangjun},
  booktitle={European Conference on Computer Vision},
  pages={280--297},
  year={2022},
  organization={Springer}
}

@inproceedings{kwon2023image,
  title={Image-Coupled Volume Propagation for Stereo Matching},
  author={Kwon, Oh-Hun and Zell, Eduard},
  booktitle={2023 IEEE International Conference on Image Processing (ICIP)},
  pages={2510--2514},
  year={2023},
  organization={IEEE}
}

@inproceedings{chen2023learning,
  title={Learning the distribution of errors in stereo matching for joint disparity and uncertainty estimation},
  author={Chen, Liyan and Wang, Weihan and Mordohai, Philippos},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={17235--17244},
  year={2023}
}

@article{cheng2020hierarchical,
  title={Hierarchical Neural Architecture Search for Deep Stereo Matching},
  author={Cheng, Xuelian and Zhong, Yiran and Harandi, Mehrtash and Dai, Yuchao and Chang, Xiaojun and Li, Hongdong and Drummond, Tom and Ge, Zongyuan},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  year={2020}
}

@inproceedings{wang2022easnet,
  title={EASNet: searching elastic and accurate network architecture for stereo matching},
  author={Wang, Qiang and Shi, Shaohuai and Zhao, Kaiyong and Chu, Xiaowen},
  booktitle={European Conference on Computer Vision},
  pages={437--453},
  year={2022},
  organization={Springer}
}

@inproceedings{lipson2021raft,
  title={RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching},
  author={Lipson, Lahav and Teed, Zachary and Deng, Jia},
  booktitle={International Conference on 3D Vision (3DV)},
  year={2021}
}

@inproceedings{wang2021scv,
  title={SCV-Stereo: Learning stereo matching from a sparse cost volume},
  author={Wang, Hengli and Fan, Rui and Liu, Ming},
  booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
  pages={3203--3207},
  year={2021},
  organization={IEEE}
}

@inproceedings{li2022practical,
  title={Practical stereo matching via cascaded recurrent network with adaptive correlation},
  author={Li, Jiankun and Wang, Peisen and Xiong, Pengfei and Cai, Tao and Yan, Ziwei and Yang, Lei and Liu, Jiangyu and Fan, Haoqiang and Liu, Shuaicheng},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={16263--16272},
  year={2022}
}

@inproceedings{zhao2022eai,
  title={Eai-stereo: Error aware iterative network for stereo matching},
  author={Zhao, Haoliang and Zhou, Huizhou and Zhang, Yongjun and Zhao, Yong and Yang, Yitong and Ouyang, Ting},
  booktitle={Proceedings of the Asian Conference on Computer Vision},
  pages={315--332},
  year={2022}
}

@inproceedings{xu2023iterative,
  title={Iterative geometry encoding volume for stereo matching},
  author={Xu, Gangwei and Wang, Xianqi and Ding, Xiaohuan and Yang, Xin},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={21919--21928},
  year={2023}
}

@inproceedings{zhao2023high,
  title={High-Frequency Stereo Matching Network},
  author={Zhao, Haoliang and Zhou, Huizhou and Zhang, Yongjun and Chen, Jie and Yang, Yitong and Zhao, Yong},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1327--1336},
  year={2023}
}

@InProceedings{Karaev_2023_CVPR,
    author    = {Karaev, Nikita and Rocco, Ignacio and Graham, Benjamin and Neverova, Natalia and Vedaldi, Andrea and Rupprecht, Christian},
    title     = {DynamicStereo: Consistent Dynamic Depth From Stereo Videos},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {13229-13239}
}

@InProceedings{Jing_2023_ICCV,
    author    = {Jing, Junpeng and Li, Jiankun and Xiong, Pengfei and Liu, Jiangyu and Liu, Shuaicheng and Guo, Yichen and Deng, Xin and Xu, Mai and Jiang, Lai and Sigal, Leonid},
    title     = {Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {3318-3327}
}

@inproceedings{wang2024selective,
  title={Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching},
  author={Wang, Xianqi and Xu, Gangwei and Jia, Hao and Yang, Xin},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2024}
}

@article{Liang_Li_2024_Any-Stereo, 
   title={Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching}, 
   volume={38}, 
   url={https://ojs.aaai.org/index.php/AAAI/article/view/28119}, 
   DOI={10.1609/aaai.v38i4.28119},
   number={4}, 
   journal={Proceedings of the AAAI Conference on Artificial Intelligence}, 
   author={Liang, Zhaohuai and Li, Changhe}, 
   year={2024}, 
   month={Mar.}, 
   pages={3333-3341} 
}

@article{Feng_2024_3DV_MC-Stereo,
  title={MC-Stereo: Multi-peak Lookup and Cascade Search Range for Stereo Matching},
  author={Feng, Miaojie and Cheng, Junda and Jia, Hao and Liu, Longliang and Xu, Gangwei and Yang, Xin},
  booktitle={International Conference on 3D Vision (3DV)},
  year={2024}
}

@article{gong2024learning,
  title={Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching},
  author={Gong, Rui and Liu, Weide and Gu, Zaiwang and Yang, Xulei and Cheng, Jun},
  journal={arXiv preprint arXiv:2402.19270},
  year={2024}
}

@inproceedings{cheng2024stereo,
  title={Stereo Matching in Time: 100+ FPS Video Stereo Matching for Extended Reality},
  author={Cheng, Ziang and Yang, Jiayu and Li, Hongdong},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={8719--8728},
  year={2024}
}

@InProceedings{Li_2021_ICCV_STTR,
    author    = {Li, Zhaoshuo and Liu, Xingtong and Drenkow, Nathan and Ding, Andy and Creighton, Francis X. and Taylor, Russell H. and Unberath, Mathias},
    title     = {Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective With Transformers},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {6197-6206}
}

@inproceedings{guo2022context_CEST,
  title={Context-enhanced stereo transformer},
  author={Guo, Weiyu and Li, Zhaoshuo and Yang, Yongkui and Wang, Zheng and Taylor, Russell H and Unberath, Mathias and Yuille, Alan and Li, Yingwei},
  booktitle={European Conference on Computer Vision},
  pages={263--279},
  year={2022},
  organization={Springer}
}

@InProceedings{Su_2022_CVPR_Chitransformer,
    author    = {Su, Qing and Ji, Shihao},
    title     = {Chitransformer: Towards Reliable Stereo From Cues},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {1939-1949}
}

@article{xu2023unifying,
  title={Unifying flow, stereo and depth estimation},
  author={Xu, Haofei and Zhang, Jing and Cai, Jianfei and Rezatofighi, Hamid and Yu, Fisher and Tao, Dacheng and Geiger, Andreas},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2023},
  publisher={IEEE}
}

@inproceedings{croco_v2,
  title={{CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow}},
  author={Weinzaepfel, Philippe and Lucas, Thomas and Leroy, Vincent and Cabon, Yohann and Arora, Vaibhav and Br{\'e}gier, Romain and Csurka, Gabriela and Antsfeld, Leonid and Chidlovskii, Boris and Revaud, J{\'e}r{\^o}me}, 
  booktitle={ICCV},
  year={2023}
}

@inproceedings{lou2023elfnet,
  title={Elfnet: Evidential local-global fusion for stereo matching},
  author={Lou, Jieming and Liu, Weide and Chen, Zhuo and Liu, Fayao and Cheng, Jun},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={17784--17793},
  year={2023}
}

@inproceedings{liu2024global,
  title={Global Occlusion-Aware Transformer for Robust Stereo Matching},
  author={Liu, Zihua and Li, Yizhou and Okutomi, Masatoshi},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={3535--3544},
  year={2024}
}

@misc{guan2024neural,
      title={Neural Markov Random Field for Stereo Matching}, 
      author={Tongfan Guan and Chen Wang and Yun-Hui Liu},
      year={2024},
      eprint={2403.11193},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@inproceedings{khamis2018stereonet,
  title={Stereonet: Guided hierarchical refinement for real-time edge-aware depth prediction},
  author={Khamis, Sameh and Fanello, Sean and Rhemann, Christoph and Kowdle, Adarsh and Valentin, Julien and Izadi, Shahram},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={573--590},
  year={2018}
}

@InProceedings{Yee_2020_WACV_FDCSC,
author = {Yee, Kyle and Chakrabarti, Ayan},
title = {Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
year = {2020}
}

@InProceedings{Yao_2021_CVPR,
    author    = {Yao, Chengtang and Jia, Yunde and Di, Huijun and Li, Pengxiang and Wu, Yuwei},
    title     = {A Decomposition Model for Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {6091-6100}
}

@InProceedings{Xu_2022_CVPR,
    author    = {Xu, Gangwei and Cheng, Junda and Guo, Peng and Yang, Xin},
    title     = {Attention Concatenation Volume for Accurate and Efficient Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {12981-12990}
}

@InProceedings{Zeng_2023_ICCV,
    author    = {Zeng, Jiaxi and Yao, Chengtang and Yu, Lidong and Wu, Yuwei and Jia, Yunde},
    title     = {Parameterized Cost Volume for Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {18347-18357}
}

@inproceedings{duggal2019deeppruner,
  title={Deeppruner: Learning efficient stereo matching via differentiable patchmatch},
  author={Duggal, Shivam and Wang, Shenlong and Ma, Wei-Chiu and Hu, Rui and Urtasun, Raquel},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={4384--4393},
  year={2019}
}

@inproceedings{xu2021bilateral,
  title={Bilateral grid learning for stereo matching networks},
  author={Xu, Bin and Xu, Yuhua and Yang, Xiaoli and Jia, Wei and Guo, Yulan},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12497--12506},
  year={2021}
}

@inproceedings{xing2020mabnet,
  title={MABNet: a lightweight stereo network based on multibranch adjustable bottleneck module},
  author={Xing, Jiabin and Qi, Zhi and Dong, Jiying and Cai, Jiaxuan and Liu, Hao},
  booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XXVIII 16},
  pages={340--356},
  year={2020},
  organization={Springer}
}

@inproceedings{rahim2021separable,
  title={Separable convolutions for optimizing 3d stereo networks},
  author={Rahim, Rafia and Shamsafar, Faranak and Zell, Andreas},
  booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
  pages={3208--3212},
  year={2021},
  organization={IEEE}
}

@inproceedings{Zhang2023TemporalStereo,
      title     = {TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network},
      author    = {Zhang, Youmin and Poggi, Matteo and Mattoccia, Stefano},
      booktitle = {IROS},
      year      = {2023}
}

@article{Li_Zhang_Su_Tao_2024_IINet, 
  title={IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching}, 
  volume={38}, 
  url={https://ojs.aaai.org/index.php/AAAI/article/view/28107}, 
  DOI={10.1609/aaai.v38i4.28107}, 
  number={4}, 
  journal={Proceedings of the AAAI Conference on Artificial Intelligence}, 
  author={Li, Ximeng and Zhang, Chen and Su, Wanjuan and Tao, Wenbing}, 
  year={2024}, 
  month={Mar.}, 
  pages={3225-3233} 
}

@inproceedings{chang2023stereovae,
  title={StereoVAE: A lightweight stereo-matching system using embedded GPUs},
  author={Chang, Qiong and Li, Xiang and Xu, Xin and Liu, Xin and Li, Yun and Miyazaki, Jun},
  booktitle={2023 IEEE International Conference on Robotics and Automation (ICRA)},
  pages={1982--1988},
  year={2023},
  organization={IEEE}
}

@inproceedings{wang2019anytime,
  title={Anytime stereo image depth estimation on mobile devices},
  author={Wang, Yan and Lai, Zihang and Huang, Gao and Wang, Brian H and Van Der Maaten, Laurens and Campbell, Mark and Weinberger, Kilian Q},
  booktitle={2019 international conference on robotics and automation (ICRA)},
  pages={5893--5900},
  year={2019},
  organization={IEEE}
}

@inproceedings{smolyanskiy2018importance,
  title={On the importance of stereo for accurate depth estimation: An efficient semi-supervised deep neural network approach},
  author={Smolyanskiy, Nikolai and Kamenev, Alexey and Birchfield, Stan},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition workshops},
  pages={1007--1015},
  year={2018}
}

@inproceedings{tonioni2019real,
  title={Real-time self-adaptive deep stereo},
  author={Tonioni, Alessio and Tosi, Fabio and Poggi, Matteo and Mattoccia, Stefano and Stefano, Luigi Di},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={195--204},
  year={2019}
}

@InProceedings{Shamsafar_2022_WACV,
    author    = {Shamsafar, Faranak and Woerz, Samuel and Rahim, Rafia and Zell, Andreas},
    title     = {MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2022},
    pages     = {2417-2426}
}

@InProceedings{Cai_2022_ACCV_PBCStereo,
    author    = {Cai, Jiaxuan and QI, ZHI and Fu, Keqi and Shi, Xulong and Li, Zan and Liu, Xuanyu and Liu, Hao},
    title     = {PBCStereo: A Compressed Stereo Network with Pure Binary Convolutional Operations},
    booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
    month     = {December},
    year      = {2022},
    pages     = {4378-4394}
}

@inproceedings{wang2020fadnet,
  title={Fadnet: A fast and accurate network for disparity estimation},
  author={Wang, Qiang and Shi, Shaohuai and Zheng, Shizhen and Zhao, Kaiyong and Chu, Xiaowen},
  booktitle={2020 IEEE international conference on robotics and automation (ICRA)},
  pages={101--107},
  year={2020},
  organization={IEEE}
}

@InProceedings{Chang_2020_ACCV,
    author    = {Chang, Jia-Ren and Chang, Pei-Chun and Chen, Yong-Sheng},
    title     = {Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices},
    booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
    month     = {November},
    year      = {2020}
}

@InProceedings{Tankovich_2021_CVPR,
    author    = {Tankovich, Vladimir and Hane, Christian and Zhang, Yinda and Kowdle, Adarsh and Fanello, Sean and Bouaziz, Sofien},
    title     = {HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {14362-14372}
}

@inproceedings{bangunharcana2021correlate,
  title={Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation},
  author={Bangunharcana, Antyanta and Cho, Jae Won and Lee, Seokju and Kweon, In So and Kim, Kyung-Soo and Kim, Soohyun},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2021}
}

@article{yang2021rlstereo,
  title={RLStereo: Real-time stereo matching based on reinforcement learning},
  author={Yang, Menglong and Wu, Fangrui and Li, Wei},
  journal={IEEE Transactions on Image Processing},
  volume={30},
  pages={9442--9455},
  year={2021},
  publisher={IEEE}
}

@inproceedings{Poggi_2024_CVPR,
  title={Federated Online Adaptation for Deep Stereo},
  author={Poggi, Matteo and Tosi, Fabio}, 
  booktitle={CVPR},
  year={2024}
}

@InProceedings{Kusupati_2020_CVPR,
author = {Kusupati, Uday and Cheng, Shuo and Chen, Rui and Su, Hao},
title = {Normal Assisted Stereo Depth Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

@InProceedings{Lai_2019_CVPR,
author = {Lai, Hsueh-Ying and Tsai, Yi-Hsuan and Chiu, Wei-Chen},
title = {Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}

@InProceedings{Wang_2019_CVPR,
author = {Wang, Yang and Wang, Peng and Yang, Zhenheng and Luo, Chenxu and Yang, Yi and Xu, Wei},
title = {UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}

@InProceedings{Chi_2021_CVPR,
    author    = {Chi, Cheng and Wang, Qingjie and Hao, Tianyu and Guo, Peng and Yang, Xin},
    title     = {Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {2463-2473}
}

@inproceedings{Xiong_2023_BMVC,
author    = {Zhexiao Xiong and Feng Qiao and Yu Zhang and Nathan Jacobs},
title     = {StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation},
booktitle = {34th British Machine Vision Conference 2023, {BMVC} 2023, Aberdeen, UK, November 20-24, 2023},
publisher = {BMVA},
year      = {2023},
url       = {https://papers.bmvc2023.org/0240.pdf}
}

@inproceedings{yang2018segstereo,
  title={Segstereo: Exploiting semantic information for disparity estimation},
  author={Yang, Guorun and Zhao, Hengshuang and Shi, Jianping and Deng, Zhidong and Jia, Jiaya},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={636--651},
  year={2018}
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@inproceedings{zhan2019dsnet,
  title={DSNet: Joint learning for scene segmentation and disparity estimation},
  author={Zhan, Wujing and Ou, Xinqi and Yang, Yunyi and Chen, Long},
  booktitle={2019 International Conference on Robotics and Automation (ICRA)},
  pages={2946--2952},
  year={2019},
  organization={IEEE}
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@article{zhang2019dispsegnet,
  title={Dispsegnet: Leveraging semantics for end-to-end learning of disparity estimation from stereo imagery},
  author={Zhang, Junming and Skinner, Katherine A and Vasudevan, Ram and Johnson-Roberson, Matthew},
  journal={IEEE Robotics and Automation Letters},
  volume={4},
  number={2},
  pages={1162--1169},
  year={2019},
  publisher={IEEE}
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@inproceedings{wu2019semantic,
  title={Semantic stereo matching with pyramid cost volumes},
  author={Wu, Zhenyao and Wu, Xinyi and Zhang, Xiaoping and Wang, Song and Ju, Lili},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={7484--7493},
  year={2019}
}

@inproceedings{dovesi2020real,
  title={Real-time semantic stereo matching},
  author={Dovesi, Pier Luigi and Poggi, Matteo and Andraghetti, Lorenzo and Mart{\'\i}, Miquel and Kjellstr{\"o}m, Hedvig and Pieropan, Alessandro and Mattoccia, Stefano},
  booktitle={2020 IEEE International Conference on Robotics and Automation (ICRA)},
  pages={10780--10787},
  year={2020},
  organization={IEEE}
}

@inproceedings{chen2020sgnet,
  title={Sgnet: Semantics guided deep stereo matching},
  author={Chen, Shuya and Xiang, Zhiyu and Qiao, Chengyu and Chen, Yiman and Bai, Tingming},
  booktitle={Proceedings of the Asian Conference on Computer Vision},
  year={2020}
}

@inproceedings{shaked2017improved,
  title={Improved stereo matching with constant highway networks and reflective confidence learning},
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  pages={4641--4650},
  year={2017}
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@article{kim2018unified,
  title={Unified confidence estimation networks for robust stereo matching},
  author={Kim, Sunok and Min, Dongbo and Kim, Seungryong and Sohn, Kwanghoon},
  journal={IEEE Transactions on Image Processing},
  volume={28},
  number={3},
  pages={1299--1313},
  year={2018},
  publisher={IEEE}
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@article{kim2020adversarial,
  title={Adversarial confidence estimation networks for robust stereo matching},
  author={Kim, Sunok and Min, Dongbo and Kim, Seungryong and Sohn, Kwanghoon},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={22},
  number={11},
  pages={6875--6889},
  year={2020},
  publisher={IEEE}
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@inproceedings{poggi2021leveraging,
  title={Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation},
  author={Poggi, Matteo and Tosi, Fabio and Aleotti, Filippo and Mattoccia, Stefano},
  booktitle={2020 25th International Conference on Pattern Recognition (ICPR)},
  pages={270--277},
  year={2021},
  organization={IEEE}
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@article{mehltretter2022joint,
  title={Joint estimation of depth and its uncertainty from stereo images using bayesian deep learning},
  author={Mehltretter, Max},
  journal={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  volume={2},
  pages={69--78},
  year={2022},
  publisher={Copernicus Publications G{\"o}ttingen, Germany}
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@InProceedings{Ma_2019_CVPR,
author = {Ma, Wei-Chiu and Wang, Shenlong and Hu, Rui and Xiong, Yuwen and Urtasun, Raquel},
title = {Deep Rigid Instance Scene Flow},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}

@article{pan2019joint,
  title={Joint stereo video deblurring, scene flow estimation and moving object segmentation},
  author={Pan, Liyuan and Dai, Yuchao and Liu, Miaomiao and Porikli, Fatih and Pan, Quan},
  journal={IEEE Transactions on Image Processing},
  volume={29},
  pages={1748--1761},
  year={2019},
  publisher={IEEE}
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@InProceedings{Cao_2019_CVPR,
author = {Cao, Zhe and Kar, Abhishek and Hane, Christian and Malik, Jitendra},
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month = {June},
year = {2019}
}

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@inproceedings{jiang2019sense,
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  year={2019}
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@inproceedings{yang2020upgrading,
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@inproceedings{aleotti2020learning,
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@article{schuster2020sceneflowfields++,
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@inproceedings{jiao2021effiscene,
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  year={2021}
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@inproceedings{yang2021learning,
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  author={Yang, Gengshan and Ramanan, Deva},
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  year={2021}
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  year={2023},
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@inproceedings{ling2023learning,
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  pages={979--988},
  year={2019}
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author = {Cheng, Xuelian and Zhong, Yiran and Dai, Yuchao and Ji, Pan and Li, Hongdong},
title = {Noise-Aware Unsupervised Deep Lidar-Stereo Fusion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
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@inproceedings{wang20193d,
  title={3d lidar and stereo fusion using stereo matching network with conditional cost volume normalization},
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  booktitle={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={5895--5902},
  year={2019},
  organization={IEEE}
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@inproceedings{you2020pseudo,
  title={Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving},
  author={You, Yurong and Wang, Yan and Chao, Wei-Lun and Garg, Divyansh and Pleiss, Geoff and Hariharan, Bharath and Campbell, Mark and Weinberger, Kilian Q},
  booktitle={ICLR},
  year={2020}
}

@inproceedings{huang2021s3,
  title={S3: Learnable sparse signal superdensity for guided depth estimation},
  author={Huang, Yu-Kai and Liu, Yueh-Cheng and Wu, Tsung-Han and Su, Hung-Ting and Chang, Yu-Cheng and Tsou, Tsung-Lin and Wang, Yu-An and Hsu, Winston H},
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    author    = {Yin, HanXi and Deng, Lei and Chen, Zhixiang and Chen, Baohua and Sun, Ting and Yusen, Xie and Xiao, Junewei and Fu, Yeyu and Deng, Shuixin and Li, Xiu},
    title     = {LSMD-Net: LiDAR-Stereo Fusion with Mixture Density Network for Depth Sensing},
    booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
    month     = {December},
    year      = {2022},
    pages     = {552-568}
}

@inproceedings{bartolomei2023active,
  title={Active stereo without pattern projector},
  author={Bartolomei, Luca and Poggi, Matteo and Tosi, Fabio and Conti, Andrea and Mattoccia, Stefano},
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  pages={18470--18482},
  year={2023}
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author = {Zhang, Yinda and Khamis, Sameh and Rhemann, Christoph and Valentin, Julien and Kowdle, Adarsh and Tankovich, Vladimir and Schoenberg, Michael and Izadi, Shahram and Funkhouser, Thomas and Fanello, Sean},
title = {ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
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@InProceedings{Baek_2021_CVPR,
    author    = {Baek, Seung-Hwan and Heide, Felix},
    title     = {Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {5757-5767}
}

@inproceedings{liu2022activezero,
  title={Activezero: Mixed domain learning for active stereovision with zero annotation},
  author={Liu, Isabella and Yang, Edward and Tao, Jianyu and Chen, Rui and Zhang, Xiaoshuai and Ran, Qing and Liu, Zhu and Su, Hao},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={13033--13042},
  year={2022}
}

@article{chen2023activezero++,
  title={Activezero++: Mixed domain learning stereo and confidence-based depth completion with zero annotation},
  author={Chen, Rui and Liu, Isabella and Yang, Edward and Tao, Jianyu and Zhang, Xiaoshuai and Ran, Qing and Liu, Zhu and Xu, Jing and Su, Hao},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2023},
  publisher={IEEE}
}

@inproceedings{liang2019unsupervised,
  title={Unsupervised cross-spectral stereo matching by learning to synthesize},
  author={Liang, Mingyang and Guo, Xiaoyang and Li, Hongsheng and Wang, Xiaogang and Song, You},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={33},
  number={01},
  pages={8706--8713},
  year={2019}
}

@inproceedings{walters2021there,
  title={There and back again: Self-supervised multispectral correspondence estimation},
  author={Walters, Celyn and Mendez, Oscar and Johnson, Mark and Bowden, Richard},
  booktitle={2021 IEEE International Conference on Robotics and Automation (ICRA)},
  pages={5147--5154},
  year={2021},
  organization={IEEE}
}

@InProceedings{Tian_2023_ICCV,
    author    = {Tian, Chaoran and Pan, Weihong and Wang, Zimo and Mao, Mao and Zhang, Guofeng and Bao, Hujun and Tan, Ping and Cui, Zhaopeng},
    title     = {DPS-Net: Deep Polarimetric Stereo Depth Estimation},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {3569-3579}
}

@article{guo2023unsupervised,
  title={Unsupervised Cross-Spectrum Depth Estimation by Visible-Light and Thermal Cameras},
  author={Guo, Yubin and Qi, Xinlei and Xie, Jin and Xu, Cheng-Zhong and Kong, Hui},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2023},
  publisher={IEEE}
}

@inproceedings{mostafavi2021event,
  title     =  {Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds},
  author    =  {Mostafavi, Mohammad and Yoon, Kuk-Jin and Choi, Jonghyun},
  booktitle =  {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages     =  {4258--4267},
  year      =  {2021}
}

@InProceedings{Nam_2022_CVPR,
    author    = {Nam, Yeongwoo and Mostafavi, Mohammad and Yoon, Kuk-Jin and Choi, Jonghyun},
    title     = {Stereo Depth From Events Cameras: Concentrate and Focus on the Future},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {6114-6123}
}

@inproceedings{cho2022selection,
  title={Selection and cross similarity for event-image deep stereo},
  author={Cho, Hoonhee and Yoon, Kuk-Jin},
  booktitle={European Conference on Computer Vision},
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  year={2022},
  organization={Springer}
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@InProceedings{Zhang_2022_CVPR_DTC,
    author    = {Zhang, Kaixuan and Che, Kaiwei and Zhang, Jianguo and Cheng, Jie and Zhang, Ziyang and Guo, Qinghai and Leng, Luziwei},
    title     = {Discrete Time Convolution for Fast Event-Based Stereo},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {8676-8686}
}

@inproceedings{cho2022event,
  title={Event-image fusion stereo using cross-modality feature propagation},
  author={Cho, Hoonhee and Yoon, Kuk-Jin},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={36},
  number={1},
  pages={454--462},
  year={2022}
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@InProceedings{Cho_2023_CVPR,
    author    = {Cho, Hoonhee and Cho, Jegyeong and Yoon, Kuk-Jin},
    title     = {Learning Adaptive Dense Event Stereo From the Image Domain},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {17797-17807}
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@InProceedings{Chen_2024_WACV,
    author    = {Chen, Xihao and Weng, Wenming and Zhang, Yueyi and Xiong, Zhiwei},
    title     = {Depth From Asymmetric Frame-Event Stereo: A Divide-and-Conquer Approach},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2024},
    pages     = {3045-3054}
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@inproceedings{zhang2022stereo,
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  booktitle={European Conference on Computer Vision},
  pages={496--513},
  year={2022},
  organization={Springer}
}

@inproceedings{chen2019over_smoothing,
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  year={2019}
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  author = {Fabio Tosi and Yiyi Liao and Carolin Schmitt and Andreas Geiger},
  title = {SMD-Nets: Stereo Mixture Density Networks},
  booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021}
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  title={Neural disparity refinement for arbitrary resolution stereo},
  author={Aleotti, Filippo and Tosi, Fabio and Ramirez, Pierluigi Zama and Poggi, Matteo and Salti, Samuele and Mattoccia, Stefano and Di Stefano, Luigi},
  booktitle={2021 International Conference on 3D Vision (3DV)},
  pages={207--217},
  year={2021},
  organization={IEEE}
}

@inproceedings{liu2022local_LaC,
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  year={2022}
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@inproceedings{Xu_CVPR_2024_ADL,
  title={Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching},
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  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2024}
}

@inproceedings{godard2017unsupervised,
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@InProceedings{Liu_2020_CVPR_Flow2Stereo,
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booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

@inproceedings{li2018occlusion,
  title={Occlusion aware stereo matching via cooperative unsupervised learning},
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  booktitle={Asian Conference on Computer Vision},
  pages={197--213},
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  organization={Springer}
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@article{joung2019unsupervised,
  title={Unsupervised stereo matching using confidential correspondence consistency},
  author={Joung, Sunghun and Kim, Seungryong and Park, Kihong and Sohn, Kwanghoon},
  journal={IEEE Transactions on Intelligent Transportation Systems},
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  number={5},
  pages={2190--2203},
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  publisher={IEEE}
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@article{wang2020parallax,
  title={Parallax attention for unsupervised stereo correspondence learning},
  author={Wang, Longguang and Guo, Yulan and Wang, Yingqian and Liang, Zhengfa and Lin, Zaiping and Yang, Jungang and An, Wei},
  journal={IEEE transactions on pattern analysis and machine intelligence},
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  number={4},
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  publisher={IEEE}
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@inproceedings{yuan2021stereo,
  title={Stereo matching by self-supervision of multiscopic vision},
  author={Yuan, Weihao and Zhang, Yazhan and Wu, Bingkun and Zhu, Siyu and Tan, Ping and Wang, Michael Yu and Chen, Qifeng},
  booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={5702--5709},
  year={2021},
  organization={IEEE}
}

@article{li2021unsupervised,
  title={Unsupervised occlusion-aware stereo matching with directed disparity smoothing},
  author={Li, Ang and Yuan, Zejian and Ling, Yonggen and Chi, Wanchao and Zhang, Shenghao and Zhang, Chong},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={23},
  number={7},
  pages={7457--7468},
  year={2021},
  publisher={IEEE}
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@inproceedings{aleotti2020reversing,
  title={Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation},
  author={Aleotti, Filippo and Tosi, Fabio and Zhang, Li and Poggi, Matteo and Mattoccia, Stefano},
  booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XI 16},
  pages={614--632},
  year={2020},
  organization={Springer}
}

@InProceedings{Chen_2021_ICCV,
    author    = {Chen, Zhi and Ye, Xiaoqing and Yang, Wei and Xu, Zhenbo and Tan, Xiao and Zou, Zhikang and Ding, Errui and Zhang, Xinming and Huang, Liusheng},
    title     = {Revealing the Reciprocal Relations Between Self-Supervised Stereo and Monocular Depth Estimation},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {15529-15538}
}

@inproceedings{zhou2023two,
  title={Two-in-one depth: Bridging the gap between monocular and binocular self-supervised depth estimation},
  author={Zhou, Zhengming and Dong, Qiulei},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={9411--9421},
  year={2023}
}

@inproceedings{zhang2019domaininvariant,
  title={Domain-invariant Stereo Matching Networks},
  author={Feihu Zhang and Xiaojuan Qi and Ruigang Yang and Victor Prisacariu and Benjamin Wah and Philip Torr},
  booktitle={Europe Conference on Computer Vision (ECCV)},
  year={2020}
}

@InProceedings{Liu_2022_CVPR,
    author    = {Liu, Biyang and Yu, Huimin and Qi, Guodong},
    title     = {GraftNet: Towards Domain Generalized Stereo Matching With a Broad-Spectrum and Task-Oriented Feature},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {13012-13021}
}

@InProceedings{Chuah_2022_CVPR,
    author    = {Chuah, WeiQin and Tennakoon, Ruwan and Hoseinnezhad, Reza and Bab-Hadiashar, Alireza and Suter, David},
    title     = {ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {13022-13032}
}

@InProceedings{Chang_2023_CVPR,
    author    = {Chang, Tianyu and Yang, Xun and Zhang, Tianzhu and Wang, Meng},
    title     = {Domain Generalized Stereo Matching via Hierarchical Visual Transformation},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {9559-9568}
}

@InProceedings{Rao_2023_CVPR,
    author    = {Rao, Zhibo and Xiong, Bangshu and He, Mingyi and Dai, Yuchao and He, Renjie and Shen, Zhelun and Li, Xing},
    title     = {Masked Representation Learning for Domain Generalized Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {5435-5444}
}

@inproceedings{cai2020matchingspace,
    title={Matching-space Stereo Networks for Cross-domain Generalization}, 
    author={Changjiang Cai and Matteo Poggi and Stefano Mattoccia and Philippos Mordohai},
    booktitle={2020 International Conference on 3D Vision (3DV)}, 
    year={2020},
    pages={364-373},
    doi={10.1109/3DV50981.2020.00046}
}

@article{cheng2022revisiting,
  title={Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching},
  author={Cheng, Kelvin and Wu, Tianfu and Healey, Christopher},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={16305--16318},
  year={2022}
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@InProceedings{Pilzer_2023_WACV,
    author    = {Pilzer, Andrea and Hou, Yuxin and Loppi, Niki and Solin, Arno and Kannala, Juho},
    title     = {Expansion of Visual Hints for Improved Generalization in Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2023},
    pages     = {5840-5849}
}

@inproceedings{watson2020learning,
  title={Learning stereo from single images},
  author={Watson, Jamie and Aodha, Oisin Mac and Turmukhambetov, Daniyar and Brostow, Gabriel J and Firman, Michael},
  booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part I 16},
  pages={722--740},
  year={2020},
  organization={Springer}
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@InProceedings{Yao_2022_CVPR,
    author    = {Yao, Chengtang and Yu, Lidong},
    title     = {FoggyStereo: Stereo Matching With Fog Volume Representation},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {13043-13052}
}

@inproceedings{Tosi_2023_CVPR,
    author    = {Tosi, Fabio and Tonioni, Alessio and De Gregorio, Daniele and Poggi, Matteo},
    title     = {NeRF-Supervised Deep Stereo},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {855-866}
}

@article{zhang2024robust_DKT,
  title={Robust Synthetic-to-Real Transfer for Stereo Matching},
  author={Zhang, Jiawei and Li, Jiahe and Huang, Lei and Yu, Xiaohan and Gu, Lin and Zheng, Jin and Bai, Xiao},
  journal={arXiv preprint arXiv:2403.07705},
  year={2024}
}

@article{rao2022rethinking,
  title={Rethinking training strategy in stereo matching},
  author={Rao, Zhibo and Dai, Yuchao and Shen, Zhelun and He, Renjie},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2022},
  publisher={IEEE}
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@inproceedings{zhong2018open,
  title={Open-world stereo video matching with deep rnn},
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@InProceedings{Song_2021_CVPR,
    author    = {Song, Xiao and Yang, Guorun and Zhu, Xinge and Zhou, Hui and Wang, Zhe and Shi, Jianping},
    title     = {AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {10328-10337}
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@inproceedings{wang2022undaf,
  title={Undaf: A general unsupervised domain adaptation framework for disparity or optical flow estimation},
  author={Wang, Hengli and Fan, Rui and Cai, Peide and Liu, Ming and Wang, Lujia},
  booktitle={2022 International Conference on Robotics and Automation (ICRA)},
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  year={2022},
  organization={IEEE}
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@ARTICLE{ucfnet,
  author={Shen, Zhelun and Song, Xibin and Dai, Yuchao and Zhou, Dingfu and Rao, Zhibo and Zhang, Liangjun},
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  title={Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching}, 
  year={2023},
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@inproceedings{tonioni2019learning,
  title={Learning to adapt for stereo},
  author={Tonioni, Alessio and Rahnama, Oscar and Joy, Thomas and Stefano, Luigi Di and Ajanthan, Thalaiyasingam and Torr, Philip HS},
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  year={2019}
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@article{poggi2021continual,
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@inproceedings{kim2019laf,
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  number    = {4},
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  year      = {2024},
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@inproceedings{hong2021stereopifu,
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@InProceedings{Wang_2023_CVPR,
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    title     = {A Practical Stereo Depth System for Smart Glasses},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {21498-21507}
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@inproceedings{du2023learning,
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  year={2023}
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@inproceedings{bartolomei2024revisiting,
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      year={2024},
      booktitle={2024 International Conference on 3D Vision (3DV)},
      organization={IEEE}
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  booktitle={2021 IEEE International Conference on Robotics and Automation (ICRA)},
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@article{tosi2024neural,
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@inproceedings{guo2021liga,
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@data{DVN/36SQKM_2024,
author = {Tokarsky, Joshua and Abdulhafiz, Ibrahim and Ayyalasomayajula, Satya and Mohsen, Mostafa and Rao, Navya G. and Forbes, Adam},
publisher = {Harvard Dataverse},
title = {{PLT-D3: A High-fidelity Dynamic Driving Simulation Dataset for Stereo Depth and Scene Flow}},
year = {2024},
version = {V1},
doi = {10.7910/DVN/36SQKM},
url = {https://doi.org/10.7910/DVN/36SQKM}
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@inproceedings{li21durlar,
 author = {Li, L. and Ismail, K.N. and Shum, H.P.H. and Breckon, T.P.},
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 booktitle = {Proc. Int. Conf. on 3D Vision},
 year = {2021},
 month = {December},
 publisher = {IEEE},
 keywords = {autonomous driving, dataset, high-resolution LiDAR, flash LiDAR, ground truth depth, dense depth, monocular depth estimation, stereo vision, 3D},
 category = {automotive 3Dvision},
}

@inproceedings{wang2024stereodiffusion,
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@inproceedings{liustereo,
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@inproceedings{ElShair2024,
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  year      = {2024},
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  doi       = {10.7302/esz6-nv83},
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@article{tosi2024survey,
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  year={2024},
  url={https://arxiv.org/abs/2407.07816},
  note={Extended version of CVPR 2024 Tutorial "Deep Stereo Matching in the Twenties" (https://sites.google.com/view/stereo-twenties)},
}

@article{bartolomei2024stereo,
  title={Stereo-Depth Fusion through Virtual Pattern Projection},
  author={Bartolomei, Luca and Poggi, Matteo and Tosi, Fabio and Conti, Andrea and Mattoccia, Stefano},
  journal={arXiv preprint arXiv:2406.04345},
  year={2024}
}

@inproceedings{cho2024temporal,
  title={Temporal Event Stereo via Joint Learning with Stereoscopic Flow},
  author={Cho, Hoonhee and Kang, Jae-Young and Yoon, Kuk-Jin},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  year={2024}
}

@inproceedings{zeng2024temporally,
  title={Temporally Consistent Stereo Matching},
  author={Zeng, Jiaxi and Yao, Chengtang and Wu, Yuwei and Jia, Yunde},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  year={2024}
}

@inproceedings{jing2024match,
  title={Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching},
  author={Jing, Junpeng and Mao, Ye and Mikolajczyk, Krystian},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  year={2024}
}

@article{wolf2024surface,
  title={Surface Reconstruction from Gaussian Splatting via Novel Stereo Views},
  author={Wolf, Yaniv and Bracha, Amit and Kimmel, Ron},
  journal={arXiv preprint arXiv:2404.01810},
  year={2024}
}

@inproceedings{bartolomei2024lidar,
	title={LiDAR-Event Stereo Fusion with Hallucinations},
	author={Bartolomei, Luca and Poggi, Matteo and Conti, Andrea and Mattoccia, Stefano},
	booktitle={European Conference on Computer Vision (ECCV)},
	year={2024},
}

@article{wen2024layeredflow,
  title={LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow},
  author={Hongyu Wen and Erich Liang and Jia Deng},
  journal={arXiv preprint arXiv:2409.05688},
  year={2024},
  month={September},
  note={Accepted to ECCV 2024}
}

@inproceedings{Wu2024,
  author    = {Zhuofeng Wu and Doehyung Lee and Zihua Liu and Kazunori Yoshizaki and Yusuke Monno and Masatoshi Okutomi},
  title     = {Disparity Estimation Using a Quad-Pixel Sensor},
  booktitle = {Proceedings of the 35th British Machine Vision Conference (BMVC)},
  year      = {2024},
  address   = {Glasgow, UK},
  month     = {November 25-28},
  publisher = {BMVA}
}

@inproceedings{Safadoust2024,
  author    = {Sadra Safadoust and Fabio Tosi and Fatma Güney and Matteo Poggi},
  title     = {Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs},
  booktitle = {Proceedings of the 35th British Machine Vision Conference (BMVC)},
  year      = {2024},
  address   = {Glasgow, UK},
  month     = {November 25-28},
  publisher = {BMVA},
}

@inproceedings{
        wei2024droma,
        title={D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation},
        author={Songlin Wei and Haoran Geng and Jiayi Chen and Congyue Deng and Cui Wenbo and Chengyang Zhao and Xiaomeng Fang and Leonidas Guibas and He Wang},
        booktitle={8th Annual Conference on Robot Learning},
        year={2024},
        url={https://openreview.net/forum?id=7E3JAys1xO}
}

@inproceedings{zhang2024learning,
  title={Learning Representations from Foundation Models for Domain Generalized Stereo Matching},
  author={Zhang, Yongjian and Wang, Longguang and Li, Kunhong and Wang, Yun and Guo, Yulan},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  year={2024}
}

@article{ghosh2024event,
  title={Event-based Stereo Depth Estimation: A Survey},
  author={Ghosh, Suman and Gallego, Guillermo},
  journal={arXiv preprint arXiv:2409.17680},
  year={2024}
}

@article{jing2024matchstereovideos,
  title={Match Stereo Videos via Bidirectional Alignment}, 
  author={Junpeng Jing and Ye Mao and Anlan Qiu and Krystian Mikolajczyk},
  year={2024},
  eprint={2403.10755},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
  }

  @article{ling2024self,
  title={Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-world},
  author={Ling, Han and Sun, Yinghui and Sun, Quansen and Tsang, Ivor and Zheng, Yuhui},
  journal={arXiv preprint arXiv:2410.10453},
  year={2024}
}

@inproceedings{han2024binocular,
      title = {Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis},
      author = {Han, Liang and Zhou, Junsheng and Liu, Yu-Shen and Han, Zhizhong},
      booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
      year = {2024}
}

@article{xu2024igev++,
  title={IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching},
  author={Xu, Gangwei and Wang, Xianqi and Zhang, Zhaoxing and Cheng, Junda and Liao, Chunyuan and Yang, Xin},
  journal={arXiv preprint arXiv:2409.00638},
  year={2024}
}

@inproceedings{chen2024mocha,
        title={MoCha-Stereo: Motif Channel Attention Network for Stereo Matching},
	author={Chen, Ziyang and Long, Wei and Yao, He and Zhang, Yongjun and Wang, Bingshu and Qin, Yongbin and Wu, Jia},
	booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
	year={2024}
}

@inproceedings{wu2022toward,
title={Toward Practical Monocular Indoor Depth Estimation},
author={Wu, Cho-Ying and Wang, Jialiang and Hall, Michael and Neumann, Ulrich and Su, Shuochen},
booktitle={CVPR},
year={2022}
}

@inproceedings{knobelreiter2020belief,
  title={Belief propagation reloaded: Learning bp-layers for labeling problems},
  author={Knobelreiter, Patrick and Sormann, Christian and Shekhovtsov, Alexander and Fraundorfer, Friedrich and Pock, Thomas},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7900--7909},
  year={2020}
}

@article{bartolomei2024stereo,
	title={Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail},
	author={Bartolomei, Luca and Tosi, Fabio and Poggi, Matteo and Mattoccia, Stefano},
	journal={arXiv preprint arXiv:2412.04472},
	year={2024},
}

@article{guo2024stereo,
  title={Stereo Anything: Unifying Stereo Matching with Large-Scale Mixed Data},
  author={Guo, Xianda and Zhang, Chenming and Zhang, Youmin and Nie, Dujun and Wang, Ruilin and Zheng, Wenzhao and Poggi, Matteo and Chen, Long},
  journal={arXiv preprint arXiv:2411.14053},
  year={2024}
}

@inproceedings{miaohierarchical,
  title={Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching},
  author={Miao, Yikun and Wu, Meiqing and Lam, Siew Kei and Li, Changsheng and Srikanthan, Thambipillai},
  booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems}
}

@inproceedings{louzero,
  title={Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain},
  author={Lou, Hanyue and Liang, Jinxiu and Teng, Minggui and Fan, Bin and Xu, Yong and Shi, Boxin},
  booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems}
}

@inproceedings{zhou2025all,
  title = {All-in-One: Transferring Vision Foundation Models into Stereo Matching},
  author = {Zhou, Jingyi and Zhang, Haoyu and Yuan, Jiakang and Ye, Peng and Chen, Tao and Jiang, Hao and Chen, Meiya and Zhang, Yangyang},
  booktitle = {Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)},
  year = {2025},
  month = {February},
  address = {Philadelphia, Pennsylvania, USA},
}

@article{chen2023esvio,
  title={Esvio: Event-based stereo visual inertial odometry},
  author={Chen, Peiyu and Guan, Weipeng and Lu, Peng},
  journal={IEEE Robotics and Automation Letters},
  volume={8},
  number={6},
  pages={3661--3668},
  year={2023},
  publisher={IEEE}
}

@article{burner2022evimo2,
  title={Evimo2: an event camera dataset for motion segmentation, optical flow, structure from motion, and visual inertial odometry in indoor scenes with monocular or stereo algorithms},
  author={Burner, Levi and Mitrokhin, Anton and Ferm{\"u}ller, Cornelia and Aloimonos, Yiannis},
  journal={arXiv preprint arXiv:2205.03467},
  year={2022}
}

@inproceedings{wang2021stereo,
  title={Stereo hybrid event-frame (shef) cameras for 3d perception},
  author={Wang, Ziwei and Pan, Liyuan and Ng, Yonhon and Zhuang, Zheyu and Mahony, Robert},
  booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={9758--9764},
  year={2021},
  organization={IEEE}
}

@inproceedings{klenk2021tum,
  title={Tum-vie: The tum stereo visual-inertial event dataset},
  author={Klenk, Simon and Chui, Jason and Demmel, Nikolaus and Cremers, Daniel},
  booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={8601--8608},
  year={2021},
  organization={IEEE}
}

@inproceedings{zhou2018semi,
  title={Semi-dense 3D reconstruction with a stereo event camera},
  author={Zhou, Yi and Gallego, Guillermo and Rebecq, Henri and Kneip, Laurent and Li, Hongdong and Scaramuzza, Davide},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={235--251},
  year={2018}
}

@article{gao2022vector,
  title={Vector: A versatile event-centric benchmark for multi-sensor slam},
  author={Gao, Ling and Liang, Yuxuan and Yang, Jiaqi and Wu, Shaoxun and Wang, Chenyu and Chen, Jiaben and Kneip, Laurent},
  journal={IEEE Robotics and Automation Letters},
  volume={7},
  number={3},
  pages={8217--8224},
  year={2022},
  publisher={IEEE}
}

@article{li2024roadformer,
  title={Playing to Vision Foundation Model's Strengths in Stereo Matching},
  author={Chuang-Wei Liu and Chen, Qijun and Fan, Rui},
  journal={IEEE Transactions on Intelligent Vehicles},
  year={2024},
  publisher={IEEE},
  note={{DOI}:{10.1109/TIV.2024.3467287}},
}

@inproceedings{li2024local,
  title={LoS: Local Structure-Guided Stereo Matching},
  author={Li, Kunhong and Wang, Longguang and Zhang, Ye and Xue, Kaiwen and Zhou, Shunbo and Guo, Yulan},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={19746--19756},
  year={2024}
}