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@article{121791,
title = {A method for registration of 3-D shapes},
author = {P. J. {Besl} and N. D. {McKay}},
year = 1992,
journal = {IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI)}
}
@article{4767965,
title = {Least-Squares Fitting of Two 3-D Point Sets},
author = {K. S. {Arun} and T. S. {Huang} and S. D. {Blostein}},
year = 1987,
journal = {IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI)}
}
@inproceedings{achlioptas2018learning,
title = {Learning representations and generative models for 3d point clouds},
author = {Achlioptas, Panos and Diamanti, Olga and Mitliagkas, Ioannis and Guibas, Leonidas},
year = 2018,
booktitle = {IEEE International Conference on Machine Learning (ICML)}
}
@inproceedings{aoki2019pointnetlk,
title = {{PointnetLK}: Robust \& efficient point cloud registration using {Pointnet}},
author = {Aoki, Yasuhiro and Goforth, Hunter and Srivatsan, Rangaprasad Arun and Lucey, Simon},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{attal2021torf,
title = {{T{\"o}RF}: Time-of-flight radiance fields for dynamic scene view synthesis},
author = {Attal, Benjamin and Laidlaw, Eliot and Gokaslan, Aaron and Kim, Changil and Richardt, Christian and Tompkin, James and O'Toole, Matthew},
year = 2021,
journal = {Advances in Neural Information Processing Systems (NeurIPS)}
}
@inproceedings{aygun20214d,
title = {4D Panoptic {LiDAR} Segmentation},
author = {Aygun, Mehmet and Osep, Aljosa and Weber, Mark and Maximov, Maxim and Stachniss, Cyrill and Behley, Jens and Leal-Taix{\'e}, Laura},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{bai2020d3feat,
title = {D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features},
author = {Bai, Xuyang and Luo, Zixin and Zhou, Lei and Fu, Hongbo and Quan, Long and Tai, Chiew-Lan},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{baidusim,
title = {Augmented {LiDAR} simulator for autonomous driving},
author = {Fang, Jin and Zhou, Dingfu and Yan, Feilong and Zhao, Tongtong and Zhang, Feihu and Ma, Yu and Wang, Liang and Yang, Ruigang},
year = 2020,
journal = {IEEE Robotics and Automation Letters (RA-L)},
}
@inproceedings{barron2021mip,
title = {{Mip-NeRF}: A multiscale representation for anti-aliasing neural radiance fields},
author = {Barron, Jonathan T and Mildenhall, Ben and Tancik, Matthew and Hedman, Peter and Martin-Brualla, Ricardo and Srinivasan, Pratul P},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{barron2022mip,
title = {{Mip-NeRF} 360: Unbounded anti-aliased neural radiance fields},
author = {Barron, Jonathan T and Mildenhall, Ben and Verbin, Dor and Srinivasan, Pratul P and Hedman, Peter},
year = 2022,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{barron2023zipnerf,
title = {Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields},
author = {Jonathan T. Barron and Ben Mildenhall and Dor Verbin and Pratul P. Srinivasan and Peter Hedman},
year = 2023,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{baur2021slim,
title = {{SLIM}: Self-Supervised {LiDAR} Scene Flow and Motion Segmentation},
author = {Baur, Stefan Andreas and Emmerichs, David Josef and Moosmann, Frank and Pinggera, Peter and Ommer, Bjorn and Geiger, Andreas},
year = 2021,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{behl2019pointflownet,
title = {{PointFlowNet}: Learning representations for rigid motion estimation from point clouds},
author = {Behl, Aseem and Paschalidou, Despoina and Donn{\'e}, Simon and Geiger, Andreas},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{behley2019semantickitti,
title = {{SemanticKITTI}: A dataset for semantic scene understanding of lidar sequences},
author = {Behley, Jens and Garbade, Martin and Milioto, Andres and Quenzel, Jan and Behnke, Sven and Stachniss, Cyrill and Gall, Jurgen},
year = 2019,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{bengio2009curriculum,
title = {Curriculum learning},
author = {Bengio, Yoshua and Louradour, J{\'e}r{\^o}me and Collobert, Ronan and Weston, Jason},
year = 2009,
booktitle = {IEEE International Conference on Machine Learning (ICML)}
}
@inproceedings{berman2018lovasz,
title = {The {Lov{\'a}sz-Softmax} loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks},
author = {Berman, Maxim and Triki, Amal Rannen and Blaschko, Matthew B},
year = 2018,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{besl1992method,
title = {Method for registration of 3-D shapes},
author = {Besl, Paul J and McKay, Neil D},
year = 1992,
booktitle = {Sensor fusion IV: control paradigms and data structures},
volume = 1611,
pages = {586--606},
organization = {International Society for Optics and Photonics}
}
@inproceedings{bijelic2020seeing,
title = {Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather},
author = {Bijelic, Mario and Gruber, Tobias and Mannan, Fahim and Kraus, Florian and Ritter, Werner and Dietmayer, Klaus and Heide, Felix},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{boss2021nerd,
title = {{NeRD}: Neural reflectance decomposition from image collections},
author = {Boss, Mark and Braun, Raphael and Jampani, Varun and Barron, Jonathan T and Liu, Ce and Lensch, Hendrik},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{caccia2019deep,
title = {Deep generative modeling of {LiDAR} data},
author = {Caccia, Lucas and Van Hoof, Herke and Courville, Aaron and Pineau, Joelle},
year = 2019,
booktitle = {IEEE/RSJ Intl. Conference on Intelligent Robots and Systems (IROS)}
}
@inproceedings{caesar2020nuscenes,
title = {{nuScenes}: A multimodal dataset for autonomous driving},
author = {Caesar, Holger and Bankiti, Varun and Lang, Alex H and Vora, Sourabh and Liong, Venice Erin and Xu, Qiang and Krishnan, Anush and Pan, Yu and Baldan, Giancarlo and Beijbom, Oscar},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@techreport{carlsson2001signature,
title = {Signature simulation and signal analysis for 3-D laser radar},
author = {Carlsson, Tomas and Steinvall, Ove and Letalick, Dietmar},
year = 2001,
institution = {Swedish Defence Research Agency}
}
@inproceedings{chabra2020deep,
title = {Deep local shapes: Learning local {SDF} priors for detailed 3d reconstruction},
author = {Chabra, Rohan and Lenssen, Jan E and Ilg, Eddy and Schmidt, Tanner and Straub, Julian and Lovegrove, Steven and Newcombe, Richard},
year = 2020,
booktitle = {European Conference on Computer Vision (ECCV)}
}
@article{chang2015shapenet,
title = {{ShapeNet}: An information-rich 3d model repository},
author = {Chang, Angel X and Funkhouser, Thomas and Guibas, Leonidas and Hanrahan, Pat and Huang, Qixing and Li, Zimo and Savarese, Silvio and Savva, Manolis and Song, Shuran and Su, Hao and others},
year = 2015,
journal = {arXiv preprint arXiv:1512.03012}
}
@inproceedings{chang2019argoverse,
title = {Argoverse: 3d tracking and forecasting with rich maps},
author = {Chang, Ming-Fang and Lambert, John and Sangkloy, Patsorn and Singh, Jagjeet and Bak, Slawomir and Hartnett, Andrew and Wang, De and Carr, Peter and Lucey, Simon and Ramanan, Deva and others},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{chen2016dynamic,
title = {Dynamic occlusion detection and inpainting of in situ captured terrestrial laser scanning point clouds sequence},
author = {Chen, Chi and Yang, Bisheng},
year = 2016,
journal = {ISPRS Journal of Photogrammetry and Remote Sensing}
}
@inproceedings{chen2019learning,
title = {Learning implicit fields for generative shape modeling},
author = {Chen, Zhiqin and Zhang, Hao},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{chen2019mmdetection,
title = {{MMDetection}: Open mmlab detection toolbox and benchmark},
author = {Chen, Kai and Wang, Jiaqi and Pang, Jiangmiao and Cao, Yuhang and Xiong, Yu and Li, Xiaoxiao and Sun, Shuyang and Feng, Wansen and Liu, Ziwei and Xu, Jiarui and others},
year = 2019,
journal = {arXiv preprint arXiv:1906.07155}
}
@article{chen2021ral,
title = {Moving Object Segmentation in {3D} {LiDAR} Data: A Learning-based Approach Exploiting Sequential Data},
author = {X. Chen and S. Li and B. Mersch and L. Wiesmann and J. Gall and J. Behley and C. Stachniss},
year = 2021,
journal = {IEEE Robotics and Automation Letters (RA-L)}
}
@article{chng2022garf,
title = {{GARF}: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation},
author = {Chng, Shin-Fang and Ramasinghe, Sameera and Sherrah, Jamie and Lucey, Simon},
year = 2022,
journal = {arXiv preprint arXiv:2204.05735}
}
@inproceedings{choi2015robust,
title = {Robust reconstruction of indoor scenes},
author = {Choi, Sungjoon and Zhou, Qian-Yi and Koltun, Vladlen},
year = 2015,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{choy20194d,
title = {4d spatio-temporal convnets: Minkowski convolutional neural networks},
author = {Choy, Christopher and Gwak, JunYoung and Savarese, Silvio},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{Choy2019FCGF,
title = {Fully Convolutional Geometric Features},
author = {Choy, Christopher and Park, Jaesik and Koltun, Vladlen},
year = 2019,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{choy2019Minkowski,
title = {4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks},
author = {Choy, Christopher and Gwak, JunYoung and Savarese, Silvio},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{choy2020deep,
title = {Deep Global Registration},
author = {Choy, Christopher and Dong, Wei and Koltun, Vladlen},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{cortinhal2020salsanext,
title = {{SalsaNext}: Fast, uncertainty-aware semantic segmentation of LiDAR point clouds},
author = {Cortinhal, Tiago and Tzelepis, George and Aksoy, Eren Erdal},
year = 2020,
booktitle = {International Symposium on Visual Computing}
}
@inproceedings{curless1996volumetric,
title = {A volumetric method for building complex models from range images},
author = {Curless, Brian and Levoy, Marc},
year = 1996,
booktitle = {ACM SIGGRAPH}
}
@article{cuturi2013sinkhorn,
title = {Sinkhorn distances: Lightspeed computation of optimal transport},
author = {Cuturi, Marco},
year = 2013,
journal = {Advances in Neural Information Processing Systems (NeurIPS)}
}
@article{delecki2022we,
title = {How Do We Fail? Stress Testing Perception in Autonomous Vehicles},
author = {Delecki, Harrison and Itkina, Masha and Lange, Bernard and Senanayake, Ransalu and Kochenderfer, Mykel J},
year = 2022,
journal = {arXiv preprint arXiv:2203.14155}
}
@article{dendorfer2021motchallenge,
title = {{MOTchallenge}: A benchmark for single-camera multiple target tracking},
author = {Dendorfer, Patrick and Osep, Aljosa and Milan, Anton and Schindler, Konrad and Cremers, Daniel and Reid, Ian and Roth, Stefan and Leal-Taix{\'e}, Laura},
year = 2021,
journal = {International Journal of Computer Vision (IJCV)}
}
@inproceedings{Deng2018PPFFoldNetUL,
title = {{PPF-FoldNet}: Unsupervised Learning of Rotation Invariant 3D Local Descriptors},
author = {Haowen Deng and Tolga Birdal and Slobodan Ilic},
year = 2018,
booktitle = {European Conference on Computer Vision (ECCV)}
}
@inproceedings{deng2018ppfnet,
title = {PPFNnet: Global context aware local features for robust 3d point matching},
author = {Deng, Haowen and Birdal, Tolga and Ilic, Slobodan},
year = 2018,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{deng2021depth,
title = {Depth-supervised {NeRF}: Fewer views and faster training for free},
author = {Deng, Kangle and Liu, Andrew and Zhu, Jun-Yan and Ramanan, Deva},
year = 2021,
journal = {arXiv preprint arXiv:2107.02791}
}
@inproceedings{detone2018superpoint,
title = {Superpoint: Self-supervised interest point detection and description},
author = {DeTone, Daniel and Malisiewicz, Tomasz and Rabinovich, Andrew},
year = 2018,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}
}
@inproceedings{dewan2016rigid,
title = {Rigid scene flow for 3d lidar scans},
author = {Dewan, Ayush and Caselitz, Tim and Tipaldi, Gian Diego and Burgard, Wolfram},
year = 2016,
booktitle = {IEEE/RSJ Intl. Conference on Intelligent Robots and Systems (IROS)}
}
@inproceedings{dosovitskiy2015flownet,
title = {{FlowNet}: Learning optical flow with convolutional networks},
author = {Dosovitskiy, Alexey and Fischer, Philipp and Ilg, Eddy and Hausser, Philip and Hazirbas, Caner and Golkov, Vladimir and Van Der Smagt, Patrick and Cremers, Daniel and Brox, Thomas},
year = 2015,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{dosovitskiy2017carla,
title = {{CARLA}: An open urban driving simulator},
author = {Dosovitskiy, Alexey and Ros, German and Codevilla, Felipe and Lopez, Antonio and Koltun, Vladlen},
year = 2017,
booktitle = {Conference on Robot Learning (CoRL)},
}
@inproceedings{dusmanu2019d2Net,
title = {{D2-Net}: A Trainable {CNN} for Joint Detection and Description of Local Features},
author = {Dusmanu, Mihai and Rocco, Ignacio and Pajdla, Tomas and Pollefeys, Marc and Sivic, Josef and Torii, Akihiko and Sattler, Torsten},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{ester1996density,
title = {A density-based algorithm for discovering clusters in large spatial databases with noise.},
author = {Ester, Martin and Kriegel, Hans-Peter and Sander, J{\"o}rg and Xu, Xiaowei and others},
year = 1996,
booktitle = {Proc.\ KDD}
}
@inproceedings{fan2020pstnet,
title = {{PSTNet}: Point spatio-temporal convolution on point cloud sequences},
author = {Fan, Hehe and Yu, Xin and Ding, Yuhang and Yang, Yi and Kankanhalli, Mohan},
year = 2020,
booktitle = {International Conference on Learning Representations (ICLR)}
}
@inproceedings{fan2021point,
title = {Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos},
author = {Fan, Hehe and Yang, Yi and Kankanhalli, Mohan},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{fan2021rangedet,
title = {Rangedet: In defense of range view for lidar-based 3d object detection},
author = {Fan, Lue and Xiong, Xuan and Wang, Feng and Wang, Naiyan and Zhang, Zhaoxiang},
year = 2021,
journal = {arXiv preprint arXiv:2103.10039}
}
@inproceedings{filatov2020any,
title = {Any motion detector: Learning class-agnostic scene dynamics from a sequence of lidar point clouds},
author = {Filatov, Artem and Rykov, Andrey and Murashkin, Viacheslav},
year = 2020,
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}
}
@article{fruhwirth2021fast3d,
title = {{FAST3D}: Flow-Aware Self-Training for 3D Object Detectors},
author = {Fruhwirth-Reisinger, Christian and Opitz, Michael and Possegger, Horst and Bischof, Horst},
year = 2021,
journal = {arXiv preprint arXiv:2110.09355}
}
@inproceedings{geiger2012kitti,
title = {Are we ready for autonomous driving? the kitti vision benchmark suite},
author = {Geiger, Andreas and Lenz, Philip and Urtasun, Raquel},
year = 2012,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{geiger2012we,
title = {Are we ready for autonomous driving? the kitti vision benchmark suite},
author = {Geiger, Andreas and Lenz, Philip and Urtasun, Raquel},
year = 2012,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
}
@inproceedings{giancola2019leveraging,
title = {Leveraging shape completion for 3d siamese tracking},
author = {Giancola, Silvio and Zarzar, Jesus and Ghanem, Bernard},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{gilmer2017neural,
title = {Neural Message Passing for Quantum Chemistry},
author = {Gilmer, Justin and Schoenholz, Samuel S and Riley, Patrick F and Vinyals, Oriol and Dahl, George E},
year = 2017,
booktitle = {IEEE International Conference on Machine Learning (ICML)}
}
@article{glennie2012calibration,
title = {Calibration and kinematic analysis of the {Velodyne} {HDL-64E} {S2} lidar sensor},
author = {Glennie, Craig},
year = 2012,
journal = {Photogrammetric Engineering \& Remote Sensing},
volume = 78,
number = 4,
pages = {339--347}
}
@inproceedings{gojcic2018learned,
title = {Learned compact local feature descriptor for {TLS}-based geodetic monitoring of natural outdoor scenes.},
author = {Gojcic, Zan and Zhou, Caifa and Wieser, Andreas},
year = 2018,
booktitle = {ISPRS Annals}
}
@inproceedings{gojcic20193DSmoothNet,
title = {The perfect match: 3d point cloud matching with smoothed densities},
author = {Gojcic, Zan and Zhou, Caifa and Wegner, Jan D and Wieser, Andreas},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{gojcic2020learning,
title = {Learning multiview 3D point cloud registration},
author = {Gojcic, Zan and Zhou, Caifa and Wegner, Jan D and Guibas, Leonidas J and Birdal, Tolga},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{gojcic2020multiview,
title = {Learning multiview 3d point cloud registration},
author = {Gojcic, Zan and Zhou, Caifa and Wegner, Jan D and Guibas, Leonidas J and Birdal, Tolga},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{gojcic2021weakly,
title = {Weakly Supervised Learning of Rigid 3D Scene Flow},
author = {Gojcic, Zan and Litany, Or and Wieser, Andreas and Guibas, Leonidas J and Birdal, Tolga},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{gojcic2021weakly_reb,
title = {Weakly Supervised Learning of Rigid 3D Scene Flow},
author = {Gojcic et al},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{graham20183d,
title = {3d semantic segmentation with submanifold sparse convolutional networks},
author = {Graham, Benjamin and Engelcke, Martin and Van Der Maaten, Laurens},
year = 2018,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{gross2019alignnet,
title = {{AlignNet-3D}: Fast point cloud registration of partially observed objects},
author = {Gro{\ss}, Johannes and O{\v{s}}ep, Aljo{\v{s}}a and Leibe, Bastian},
year = 2019,
booktitle = {IEEE International conference on 3D vision (3DV)}
}
@inproceedings{gu2020weakly,
title = {Weakly-supervised 3D Shape Completion in the Wild},
author = {Gu, Jiayuan and Ma, Wei-Chiu and Manivasagam, Sivabalan and Zeng, Wenyuan and Wang, Zihao and Xiong, Yuwen and Su, Hao and Urtasun, Raquel},
year = 2020,
booktitle = {European Conference on Computer Vision (ECCV)}
}
@inproceedings{guillard2022learning,
title = {Learning to Simulate Realistic {LiDARs}},
author = {Guillard, Benoit and Vemprala, Sai and Gupta, Jayesh K and Miksik, Ondrej and Vineet, Vibhav and Fua, Pascal and Kapoor, Ashish},
year = 2022,
booktitle = {IEEE/RSJ Intl. Conference on Intelligent Robots and Systems (IROS)}
}
@inproceedings{guo2014performanceEvaluation,
title = {Performance evaluation of 3{D} local feature descriptors},
author = {Guo, Yulan and Bennamoun, Mohammed and Sohel, Ferdous and Lu, Min and Wan, Jianwei and Zhang, Jun},
year = 2014,
booktitle = {Asian Conference on Computer Vision (ACCV)}
}
@article{hackel2020inference,
title = {Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in {CNNs}},
author = {Hackel, Timo and Usvyatsov, Mikhail and Galliani, Silvano and Wegner, Jan D and Schindler, Konrad},
year = 2020,
journal = {International Journal of Computer Vision (IJCV)}
}
@inproceedings{hahner2021fog,
title = {Fog Simulation on Real {LiDAR} Point Clouds for 3D Object Detection in Adverse Weather},
author = {Hahner, Martin and Sakaridis, Christos and Dai, Dengxin and {Van Gool}, Luc},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{hahner2022lidar,
title = {LiDAR Snowfall Simulation for Robust 3D Object Detection},
author = {Hahner, Martin and Sakaridis, Christos and Bijelic, Mario and Heide, Felix and Yu, Fisher and Dai, Dengxin and Van Gool, Luc},
year = 2022,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
}
@article{Halber2016StructuredGR,
title = {Structured Global Registration of {RGB-D} Scans in Indoor Environments},
author = {Maciej Halber and Thomas A. Funkhouser},
year = 2016,
journal = {arXiv preprint arXiv:1607.08539}
}
@article{harvey2015modeling,
title = {Modeling physical optics phenomena by complex ray tracing},
author = {Harvey, James E and Irvin, Ryan G and Pfisterer, Richard N},
year = 2015,
journal = {Optical Engineering},
volume = 54,
number = 3,
pages = {035105}
}
@inproceedings{he2016deep,
title = {Deep residual learning for image recognition},
author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
year = 2016,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{hu2020randla,
title = {{RandLA-Net}: Efficient semantic segmentation of large-scale point clouds},
author = {Hu, Qingyong and Yang, Bo and Xie, Linhai and Rosa, Stefano and Guo, Yulan and Wang, Zhihua and Trigoni, Niki and Markham, Andrew},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{hu2021sqn,
title = {{SQN}: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels},
author = {Hu, Qingyong and Yang, Bo and Fang, Guangchi and Guo, Yulan and Leonardis, Ales and Trigoni, Niki and Markham, Andrew},
year = 2021,
journal = {arXiv preprint arXiv:2104.04891}
}
@inproceedings{huang2021multibodysync,
title = {{MultiBodySync}: Multi-body segmentation and motion estimation via 3d scan synchronization},
author = {Huang, Jiahui and Wang, He and Birdal, Tolga and Sung, Minhyuk and Arrigoni, Federica and Hu, Shi-Min and Guibas, Leonidas J},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{huang2021predator,
title = {Predator: Registration of 3d point clouds with low overlap},
author = {Huang, Shengyu and Gojcic, Zan and Usvyatsov, Mikhail and Wieser, Andreas and Schindler, Konrad},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{huang2022dynamic,
title = {Dynamic 3D Scene Analysis by Point Cloud Accumulation},
author = {Huang, Shengyu and Gojcic, Zan and Huang, Jiahui and Wieser, Andreas and Schindler, Konrad},
year = 2022,
booktitle = {European Conference on Computer Vision (ECCV)}
}
@article{huang2022multiway,
title = {Multiway non-rigid point cloud registration via learned functional map synchronization},
author = {Huang, Jiahui and Birdal, Tolga and Gojcic, Zan and Guibas, Leonidas J and Hu, Shi-Min},
year = 2022,
journal = {IIEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI)}
}
@inproceedings{hur2021self,
title = {Self-Supervised Multi-Frame Monocular Scene Flow},
author = {Hur, Junhwa and Roth, Stefan},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{ichnowski2021dex,
title = {{Dex-NeRF}: Using a Neural Radiance Field to Grasp Transparent Objects},
author = {Ichnowski, Jeffrey and Avigal, Yahav and Kerr, Justin and Goldberg, Ken},
year = 2021,
journal = {arXiv preprint arXiv:2110.14217}
}
@inproceedings{ioffe2015batch,
title = {Batch normalization: Accelerating deep network training by reducing internal covariate shift},
author = {Ioffe, Sergey and Szegedy, Christian},
year = 2015,
booktitle = {IEEE International Conference on Machine Learning (ICML)}
}
@inproceedings{jiang2020pointgroup,
title = {Pointgroup: Dual-set point grouping for 3d instance segmentation},
author = {Jiang, Li and Zhao, Hengshuang and Shi, Shaoshuai and Liu, Shu and Fu, Chi-Wing and Jia, Jiaya},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{johnson1999,
title = {Using spin images for efficient object recognition in cluttered 3D scenes},
author = {A.E. Johnson and M. Hebert},
year = 1999,
journal = {IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI)}
}
@article{jund2021scalable,
title = {Scalable Scene Flow from Point Clouds in the Real World},
author = {Jund, Philipp and Sweeney, Chris and Abdo, Nichola and Chen, Zhifeng and Shlens, Jonathon},
year = 2021,
journal = {arXiv preprint arXiv:2103.01306}
}
@article{kabsch1976solution,
title = {A solution for the best rotation to relate two sets of vectors},
author = {Kabsch, Wolfgang},
year = 1976,
journal = {Acta Crystallographica Section A: Crystal Physics, Diffraction, Theoretical and General Crystallography},
publisher = {International Union of Crystallography},
volume = 32,
number = 5,
pages = {922--923}
}
@inproceedings{karras2019style,
title = {A style-based generator architecture for generative adversarial networks},
author = {Karras, Tero and Laine, Samuli and Aila, Timo},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{kashani2015review,
title = {A review of {LiDAR} radiometric processing: From ad hoc intensity correction to rigorous radiometric calibration},
author = {Kashani, Alireza G and Olsen, Michael J and Parrish, Christopher E and Wilson, Nicholas},
year = 2015,
journal = {Sensors},
volume = 15,
number = 11,
pages = {28099--28128}
}
@inproceedings{kazhdan2006poisson,
title = {Poisson surface reconstruction},
author = {Kazhdan, Michael and Bolitho, Matthew and Hoppe, Hugues},
year = 2006,
booktitle = {Eurographics}
}
@inproceedings{kendall2015posenet,
title = {Posenet: A convolutional network for real-time 6-dof camera relocalization},
author = {Kendall, Alex and Grimes, Matthew and Cipolla, Roberto},
year = 2015,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{khoury2017CGF,
title = {Learning compact geometric features},
author = {Khoury, Marc and Zhou, Qian-Yi and Koltun, Vladlen},
year = 2017,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@article{kilic2021lidar,
title = {Lidar Light Scattering Augmentation ({LISA}): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection},
author = {Kilic, Velat and Hegde, Deepti and Sindagi, Vishwanath and Cooper, A Brinton and Foster, Mark A and Patel, Vishal M},
year = 2021,
journal = {arXiv preprint arXiv:2107.07004}
}
@inproceedings{kim2020remove,
title = {Remove, then revert: Static point cloud map construction using multiresolution range images},
author = {Kim, Giseop and Kim, Ayoung},
year = 2020,
booktitle = {IEEE/RSJ Intl. Conference on Intelligent Robots and Systems (IROS)}
}
@inproceedings{kim2021setvae,
title = {{SetVAE}: Learning hierarchical composition for generative modeling of set-structured data},
author = {Kim, Jinwoo and Yoo, Jaehoon and Lee, Juho and Hong, Seunghoon},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{kingma2014adam,
title = {Adam: A method for stochastic optimization},
author = {Kingma, Diederik P and Ba, Jimmy},
year = 2014,
booktitle = {International Conference on Learning Representations (ICLR)}
}
@inproceedings{kipf2016semi,
title = {Semi-supervised classification with graph convolutional networks},
author = {Kipf, Thomas N and Welling, Max},
year = 2017,
booktitle = {International Conference on Learning Representations (ICLR)}
}
@article{klenk2022nerf,
title = {{E-NeRF}: Neural Radiance Fields from a Moving Event Camera},
author = {Klenk, Simon and Koestler, Lukas and Scaramuzza, Davide and Cremers, Daniel},
year = 2022,
journal = {arXiv preprint arXiv:2208.11300}
}
@inproceedings{koenig2004design,
title = {Design and use paradigms for gazebo, an open-source multi-robot simulator},
author = {Koenig, Nathan and Howard, Andrew},
year = 2004,
booktitle = {IEEE/RSJ Intl. Conference on Intelligent Robots and Systems (IROS)}
}
@article{kuhn1955hungarian,
title = {The Hungarian method for the assignment problem},
author = {Kuhn, Harold W},
year = 1955,
journal = {Naval research logistics quarterly}
}
@article{kurup2021dsor,
title = {{DSOR}: A Scalable Statistical Filter for Removing Falling Snow from {LiDAR} Point Clouds in Severe Winter Weather},
author = {Kurup, Akhil and Bos, Jeremy},
year = 2021,
journal = {arXiv preprint arXiv:2109.07078}
}
@inproceedings{lahoud20193d,
title = {3d instance segmentation via multi-task metric learning},
author = {Lahoud, Jean and Ghanem, Bernard and Pollefeys, Marc and Oswald, Martin R},
year = 2019,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{lai2014unsupervised,
title = {Unsupervised feature learning for 3d scene labeling},
author = {Lai, Kevin and Bo, Liefeng and Fox, Dieter},
year = 2014,
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}
}
@inproceedings{li2019pu,
title = {{PU-GAN}: a point cloud upsampling adversarial network},
author = {Li, Ruihui and Li, Xianzhi and Fu, Chi-Wing and Cohen-Or, Daniel and Heng, Pheng-Ann},
year = 2019,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{li2019usip,
title = {Usip: Unsupervised stable interest point detection from 3d point clouds},
author = {Li, Jiaxin and Lee, Gim Hee},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{li2020dual,
title = {Dual-resolution correspondence networks},
author = {Li, Xinghui and Han, Kai and Li, Shuda and Prisacariu, Victor Adrian},
year = 2020,
journal = {Advances in Neural Information Processing Systems (NeurIPS)}
}
@inproceedings{li2021hcrf,
title = {{HCRF-Flow}: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding},
author = {Li, Ruibo and Lin, Guosheng and He, Tong and Liu, Fayao and Shen, Chunhua},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{li2021neural,
title = {Neural Scene Flow Prior},
author = {Li, Xueqian and Kaesemodel Pontes, Jhony and Lucey, Simon},
year = 2021,
journal = {Advances in Neural Information Processing Systems (NeurIPS)}
}
@inproceedings{li2021self,
title = {Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk},
author = {Li, Ruibo and Lin, Guosheng and Xie, Lihua},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{li2022dataset,
title = {Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms},
author = {Li, Qingqing and Yu, Xianjia and Pe{\~n}a Queralta, Jorge and Westerlund, Tomi},
year = 2022,
journal = {arXiv preprint arXiv:2203.03454}
}
@article{lim2003lidar,
title = {LiDAR remote sensing of forest structure},
author = {Lim, Kevin and Treitz, Paul and Wulder, Michael and St-Onge, Beno{\^\i}t and Flood, Martin},
year = 2003,
journal = {Progress in physical geography},
publisher = {Sage Publications Sage CA: Thousand Oaks, CA},
volume = 27,
number = 1,
pages = {88--106}
}
@article{lim2003lidar_reb,
title = {LiDAR remote sensing of forest structure},
author = {Lim et al, Kevin},
year = 2003,
journal = {Progress in physical geography}
}
@inproceedings{lin2021barf,
title = {{BARF}: Bundle-adjusting neural radiance fields},
author = {Lin, Chen-Hsuan and Ma, Wei-Chiu and Torralba, Antonio and Lucey, Simon},
year = 2021,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{liu2019flownet3d,
title = {{FlowNet3D}: Learning scene flow in 3d point clouds},
author = {Liu, Xingyu and Qi, Charles R and Guibas, Leonidas J},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{liu2019meteornet,
title = {Meteornet: Deep learning on dynamic 3d point cloud sequences},
author = {Liu, Xingyu and Yan, Mengyuan and Bohg, Jeannette},
year = 2019,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@article{liu2019point,
title = {Point-voxel cnn for efficient 3d deep learning},
author = {Liu, Zhijian and Tang, Haotian and Lin, Yujun and Han, Song},
year = 2019,
journal = {arXiv preprint arXiv:1907.03739}
}
@article{liu2020neural,
title = {Neural sparse voxel fields},
author = {Liu, Lingjie and Gu, Jiatao and Zaw Lin, Kyaw and Chua, Tat-Seng and Theobalt, Christian},
year = 2020,
journal = {Advances in Neural Information Processing Systems (NeurIPS)}
}
@inproceedings{liu2021one,
title = {One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation},
author = {Liu, Zhengzhe and Qi, Xiaojuan and Fu, Chi-Wing},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{liu2022bevfusion,
title = {{BEVFusion}: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation},
author = {Liu, Zhijian and Tang, Haotian and Amini, Alexander and Yang, Xinyu and Mao, Huizi and Rus, Daniela and Han, Song},
year = 2022,
journal = {arXiv preprint arXiv:2205.13542}
}
@inproceedings{long2015fully,
title = {Fully convolutional networks for semantic segmentation},
author = {Long, Jonathan and Shelhamer, Evan and Darrell, Trevor},
year = 2015,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{lowe2004distinctive,
title = {Distinctive image features from scale-invariant keypoints},
author = {Lowe, David G},
year = 2004,
journal = {International Journal of Computer Vision (IJCV)},
}
@article{lu2020rskdd,
title = {RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor},
author = {Lu, Fan and Chen, Guang and Liu, Yinlong and Qu, Zhongnan and Knoll, Alois},
year = 2020,
journal = {Advances in Neural Information Processing Systems (NeurIPS)}
}
@inproceedings{lucas1981LK,
title = {An iterative image registration technique with an application to stereo vision},
author = {Lucas, Bruce D and Kanade, Takeo},
year = 1981,
booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)}
}
@article{luiten2020track,
title = {Track to reconstruct and reconstruct to track},
author = {Luiten, Jonathon and Fischer, Tobias and Leibe, Bastian},
year = 2020,
journal = {IEEE Robotics and Automation Letters (RA-L)},
}
@article{luo2021exploring,
title = {Exploring Simple 3D Multi-Object Tracking for Autonomous Driving},
author = {Luo, Chenxu and Yang, Xiaodong and Yuille, Alan},
year = 2021,
journal = {arXiv preprint arXiv:2108.10312}
}
@inproceedings{luo2021self,
title = {Self-Supervised Pillar Motion Learning for Autonomous Driving},
author = {Luo, Chenxu and Yang, Xiaodong and Yuille, Alan},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{luo2022learning,
title = {Learning Neural Acoustic Fields},
author = {Luo, Andrew and Du, Yilun and Tarr, Michael J and Tenenbaum, Joshua B and Torralba, Antonio and Gan, Chuang},
year = 2022,
journal = {arXiv preprint arXiv:2204.00628}
}
@inproceedings{maas2013rectifier,
title = {Rectifier nonlinearities improve neural network acoustic models},
author = {Maas, Andrew L and Hannun, Awni Y and Ng, Andrew Y},
year = 2013,
booktitle = {IEEE International Conference on Machine Learning (ICML)}
}
@inproceedings{manivasagam2020lidarsim,
title = {{LiDARsim}: Realistic {LiDAR} simulation by leveraging the real world},
author = {Manivasagam, Sivabalan and Wang, Shenlong and Wong, Kelvin and Zeng, Wenyuan and Sazanovich, Mikita and Tan, Shuhan and Yang, Bin and Ma, Wei-Chiu and Urtasun, Raquel},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{mao2021one,
title = {One Million Scenes for Autonomous Driving: {ONCE} Dataset},
author = {Mao, Jiageng and Niu, Minzhe and Jiang, Chenhan and Liang, Hanxue and Liang, Xiaodan and Li, Yamin and Ye, Chaoqiang and Zhang, Wei and Li, Zhenguo and Yu, Jie and others},
year = 2021,
journal = {arXiv preprint arXiv:2106.11037}
}
@article{max1995optical,
title = {Optical models for direct volume rendering},
author = {Max, Nelson},
year = 1995,
journal = {IEEE Transactions on Visualization and Computer Graphics},
volume = 1,
number = 2,
pages = {99--108}
}
@techreport{max2005local,
title = {Local and global illumination in the volume rendering integral},
author = {Max, Nelson and Chen, Min},
year = 2005,
institution = {Lawrence Livermore National Lab., Livermore, CA}
}
@inproceedings{mayer2016large,
title = {A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation},
author = {Mayer, Nikolaus and Ilg, Eddy and Hausser, Philip and Fischer, Philipp and Cremers, Daniel and Dosovitskiy, Alexey and Brox, Thomas},
year = 2016,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{mcinnes2017hdbscan,
title = {hdbscan: Hierarchical density based clustering},
author = {McInnes, Leland and Healy, John and Astels, Steve},
year = 2017,
journal = {Journal of Open Source Software},
volume = 2,
number = 11,
pages = 205
}
@article{menze2018object,
title = {Object scene flow},
author = {Menze, Moritz and Heipke, Christian and Geiger, Andreas},
year = 2018,
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
}
@inproceedings{mescheder2019occupancy,
title = {Occupancy networks: Learning 3d reconstruction in function space},
author = {Mescheder, Lars and Oechsle, Michael and Niemeyer, Michael and Nowozin, Sebastian and Geiger, Andreas},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{mildenhall2020nerf,
title = {{NerF}: Representing scenes as neural radiance fields for view synthesis},
author = {Mildenhall, Ben and Srinivasan, Pratul P and Tancik, Matthew and Barron, Jonathan T and Ramamoorthi, Ravi and Ng, Ren},
year = 2020,
booktitle = {European Conference on Computer Vision (ECCV)}
}
@inproceedings{mildenhall2022nerf,
title = {{NeRF} in the dark: High dynamic range view synthesis from noisy raw images},
author = {Mildenhall, Ben and Hedman, Peter and Martin-Brualla, Ricardo and Srinivasan, Pratul P and Barron, Jonathan T},
year = 2022,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{nair2010rectified,
title = {Rectified linear units improve restricted boltzmann machines},
author = {Nair, Vinod and Hinton, Geoffrey E},
year = 2010,
booktitle = {IEEE International Conference on Machine Learning (ICML)}
}
@inproceedings{nakashima2021learning,
title = {Learning to Drop Points for {LiDAR} Scan Synthesis},
author = {Nakashima, Kazuto and Kurazume, Ryo},
year = 2021,
booktitle = {IEEE/RSJ Intl. Conference on Intelligent Robots and Systems (IROS)}
}
@article{NEURIPS2019_9015,
title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
year = 2021,
journal = {Advances in Neural Information Processing Systems (NeurIPS)}
}
@inproceedings{niemeyer2019occupancy,
title = {Occupancy flow: 4d reconstruction by learning particle dynamics},
author = {Niemeyer, Michael and Mescheder, Lars and Oechsle, Michael and Geiger, Andreas},
year = 2019,
booktitle = {IEEE International Conference on Computer Vision (ICCV)}
}
@inproceedings{oechsle2021unisurf,
title = {{UNISURF}: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction},
author = {Oechsle, Michael and Peng, Songyou and Geiger, Andreas},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{Ost_2022_CVPR,
title = {Neural point light fields},
author = {Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix},
year = 2022,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{Ost_2022_CVPR_reb,
title = {Neural Point Light Fields},
author = {Ost et al, Julian},
year = 2022,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{ost2021neural,
title = {Neural scene graphs for dynamic scenes},
author = {Ost, Julian and Mannan, Fahim and Thuerey, Nils and Knodt, Julian and Heide, Felix},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{ost2022pointlightfields,
title = {Neural Point Light Fields},
author = {Ost, Julian and Laradji, Issam and Newell, Alejandro and Bahat, Yuval and Heide, Felix},
year = 2022,
journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{ouyang2021occlusion,
title = {Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds},
author = {Ouyang, Bojun and Raviv, Dan},
year = 2021,
journal = {arXiv preprint arXiv:2104.04724}
}
@inproceedings{pais20203dregnet,
title = {{3DRegNet}: A deep neural network for 3D point registration},
author = {Pais, G Dias and Ramalingam, Srikumar and Govindu, Venu Madhav and Nascimento, Jacinto C and Chellappa, Rama and Miraldo, Pedro},
year = 2020,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@article{pang2021model,
title = {Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences},
author = {Pang, Ziqi and Li, Zhichao and Wang, Naiyan},
year = 2021,
journal = {arXiv preprint arXiv:2103.06028}
}
@inproceedings{park2019deepsdf,
title = {{DeepSDF}: Learning continuous signed distance functions for shape representation},
author = {Park, Jeong Joon and Florence, Peter and Straub, Julian and Newcombe, Richard and Lovegrove, Steven},
year = 2019,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{peng2020convolutional,
title = {Convolutional occupancy networks},
author = {Peng, Songyou and Niemeyer, Michael and Mescheder, Lars and Pollefeys, Marc and Geiger, Andreas},
year = 2020,
booktitle = {European Conference on Computer Vision (ECCV)}
}
@inproceedings{pfister2000surfels,
title = {Surfels: Surface elements as rendering primitives},
author = {Pfister, Hanspeter and Zwicker, Matthias and Van Baar, Jeroen and Gross, Markus},
year = 2000,
booktitle = {Computer Graphics and Interactive Techniques}
}
@article{piergiovanni20214d,
title = {4D-Net for Learned Multi-Modal Alignment},
author = {Piergiovanni, AJ and Casser, Vincent and Ryoo, Michael S and Angelova, Anelia},
year = 2021,
journal = {arXiv preprint arXiv:2109.01066}
}
@misc{point-cloud-utils,
title = {Point Cloud Utils},
author = {Francis Williams},
year = 2022,
note = {https://www.github.com/fwilliams/point-cloud-utils}
}
@article{pomerleau2012challenging,
title = {Challenging data sets for point cloud registration algorithms},
author = {Pomerleau, Fran{\c{c}}ois and Liu, Ming and Colas, Francis and Siegwart, Roland},
year = 2012,
journal = {The International Journal of Robotics Research}
}
@inproceedings{pomerleau2014long,
title = {Long-term 3D map maintenance in dynamic environments},
author = {Pomerleau, Fran{\c{c}}ois and Kr{\"u}si, Philipp and Colas, Francis and Furgale, Paul and Siegwart, Roland},
year = 2014,
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}
}
@inproceedings{pontes2020scene,
title = {Scene Flow from Point Clouds with or without Learning},
author = {Pontes, Jhony Kaesemodel and Hays, James and Lucey, Simon},
year = 2020,
booktitle = {IEEE International conference on 3D vision (3DV)}
}
@inproceedings{pumarola2021d,
title = {{D-NeRF}: Neural radiance fields for dynamic scenes},
author = {Pumarola, Albert and Corona, Enric and Pons-Moll, Gerard and Moreno-Noguer, Francesc},
year = 2021,
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}
@inproceedings{puy2020flot,
title = {{FLOT}: Scene flow on point clouds guided by optimal transport},
author = {Puy, Gilles and Boulch, Alexandre and Marlet, Renaud},
year = 2020,
booktitle = {European Conference on Computer Vision (ECCV)}