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Graph."],"published-print":{"date-parts":[[2020,12,31]]},"abstract":"<jats:p>\n            Objects obscured by occluders are considered lost in the images acquired by conventional camera systems, prohibiting both visualization and understanding of such hidden objects. Non-line-of-sight methods (NLOS) aim at recovering information about hidden scenes, which could help make medical imaging less invasive, improve the safety of autonomous vehicles, and potentially enable capturing unprecedented high-definition RGB-D data sets that include geometry beyond the directly visible parts. Recent NLOS methods have demonstrated scene recovery from time-resolved pulse-illuminated measurements encoding occluded objects as faint indirect reflections. Unfortunately, these systems are fundamentally limited by the quartic intensity fall-off for diffuse scenes. With laser illumination limited by eye-safety limits, recovery algorithms must tackle this challenge by incorporating scene priors. However, existing NLOS reconstruction algorithms do not facilitate learning scene priors. Even if they did, datasets that allow for such supervision do not exist, and successful encoder-decoder networks and generative adversarial networks fail for real-world NLOS data. In this work, we close this gap by learning hidden scene feature representations tailored to both reconstruction and recognition tasks such as classification or object detection, while still relying on physical models at the feature level. We\n            <jats:italic>overcome the lack of real training data<\/jats:italic>\n            with a generalizable architecture that can be trained in simulation. We learn the differentiable scene representation jointly with the reconstruction task using a differentiable transient renderer in the objective, and demonstrate that it\n            <jats:italic>generalizes to unseen classes and unseen real-world scenes<\/jats:italic>\n            , unlike existing encoder-decoder architectures and generative adversarial networks. The proposed method allows for\n            <jats:italic>end-to-end training for different NLOS tasks<\/jats:italic>\n            , such as image reconstruction, classification, and object detection, while being memory-efficient and running at real-time rates. We demonstrate\n            <jats:italic>hidden view synthesis, RGB-D reconstruction, classification, and object detection<\/jats:italic>\n            in the hidden scene in an end-to-end fashion.\n          <\/jats:p>","DOI":"10.1145\/3414685.3417825","type":"journal-article","created":{"date-parts":[[2020,11,27]],"date-time":"2020-11-27T21:51:05Z","timestamp":1606513865000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":80,"title":["Learned feature embeddings for non-line-of-sight imaging and recognition"],"prefix":"10.1145","volume":"39","author":[{"given":"Wenzheng","family":"Chen","sequence":"first","affiliation":[{"name":"University of Toronto, Vector Institute"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangyin","family":"Wei","sequence":"additional","affiliation":[{"name":"Princeton University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kiriakos N.","family":"Kutulakos","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Szymon","family":"Rusinkiewicz","sequence":"additional","affiliation":[{"name":"Princeton University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix","family":"Heide","sequence":"additional","affiliation":[{"name":"Princeton University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,11,27]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1364\/OL.3.000121"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.25.011574"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.249"},{"key":"e_1_2_2_5_1","volume-title":"Non-line-of-sight imaging using a time-gated single photon avalanche diode. 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A Computational Model of a Single-Photon Avalanche Diode Sensor for Transient Imaging. arXiv:physics.insdet\/1703.02635  Quercus Hernandez Diego Gutierrez and Adrian Jarabo. 2017. A Computational Model of a Single-Photon Avalanche Diode Sensor for Transient Imaging. arXiv:physics.insdet\/1703.02635"},{"key":"e_1_2_2_24_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3368314","article-title":"Non-line-of-sight reconstruction using efficient transient rendering","volume":"39","author":"Iseringhausen Julian","year":"2020","unstructured":"Julian Iseringhausen and Matthias B Hullin . 2020 . Non-line-of-sight reconstruction using efficient transient rendering . ACM Transactions on Graphics (TOG) 39 , 1 (2020), 1 -- 14 . Julian Iseringhausen and Matthias B Hullin. 2020. Non-line-of-sight reconstruction using efficient transient rendering. 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Wiley Online Library, 96--105."},{"key":"e_1_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661251"},{"key":"e_1_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.visinf.2017.01.008"},{"key":"e_1_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508428"},{"key":"e_1_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2836164"},{"key":"e_1_2_2_31_1","volume-title":"Non-invasive singleshot imaging through scattering layers and around corners via speckle correlations. Nature photonics 8, 10","author":"Katz Ori","year":"2014","unstructured":"Ori Katz , Pierre Heidmann , Mathias Fink , and Sylvain Gigan . 2014. Non-invasive singleshot imaging through scattering layers and around corners via speckle correlations. Nature photonics 8, 10 ( 2014 ), 784. Ori Katz, Pierre Heidmann, Mathias Fink, and Sylvain Gigan. 2014. Non-invasive singleshot imaging through scattering layers and around corners via speckle correlations. Nature photonics 8, 10 (2014), 784."},{"key":"e_1_2_2_32_1","volume-title":"Looking around corners and through thin turbid layers in real time with scattered incoherent light. Nature photonics 6, 8","author":"Katz Ori","year":"2012","unstructured":"Ori Katz , Eran Small , and Yaron Silberberg . 2012. Looking around corners and through thin turbid layers in real time with scattered incoherent light. Nature photonics 6, 8 ( 2012 ), 549--553. Ori Katz, Eran Small, and Yaron Silberberg. 2012. Looking around corners and through thin turbid layers in real time with scattered incoherent light. Nature photonics 6, 8 (2012), 549--553."},{"key":"e_1_2_2_33_1","volume-title":"IEEE International Conference on Computer Vision (ICCV). 159--166","author":"Kirmani A.","unstructured":"A. Kirmani , T. Hutchison , J. Davis , and R. Raskar . 2009. Looking around the corner using transient imaging . In IEEE International Conference on Computer Vision (ICCV). 159--166 . A. Kirmani, T. Hutchison, J. Davis, and R. Raskar. 2009. Looking around the corner using transient imaging. In IEEE International Conference on Computer Vision (ICCV). 159--166."},{"key":"e_1_2_2_34_1","volume-title":"Jeffrey H Shapiro, and Vivek K Goyal.","author":"Kirmani Ahmed","year":"2014","unstructured":"Ahmed Kirmani , Dheera Venkatraman , Dongeek Shin , Andrea Cola\u00e7o , Franco NC Wong , Jeffrey H Shapiro, and Vivek K Goyal. 2014 . First-photon imaging. Science 343, 6166 (2014), 58--61. Ahmed Kirmani, Dheera Venkatraman, Dongeek Shin, Andrea Cola\u00e7o, Franco NC Wong, Jeffrey H Shapiro, and Vivek K Goyal. 2014. First-photon imaging. Science 343, 6166 (2014), 58--61."},{"key":"e_1_2_2_35_1","volume-title":"Tracking objects outside the line of sight using 2D intensity images. Scientific reports 6","author":"Klein Jonathan","year":"2016","unstructured":"Jonathan Klein , Christoph Peters , Jaime Mart\u00edn , Martin Laurenzis , and Matthias B Hullin . 2016. Tracking objects outside the line of sight using 2D intensity images. Scientific reports 6 ( 2016 ), 32491. Jonathan Klein, Christoph Peters, Jaime Mart\u00edn, Martin Laurenzis, and Matthias B Hullin. 2016. Tracking objects outside the line of sight using 2D intensity images. Scientific reports 6 (2016), 32491."},{"key":"e_1_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.23.6.063003"},{"key":"e_1_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00694"},{"key":"e_1_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322937"},{"key":"e_1_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-15157-4"},{"key":"e_1_2_2_40_1","volume-title":"Ji Hyun Nam, Syed Azer Reza, Toan Huu Le, Adrian Jarabo, Diego Gutierrez, and Andreas Velten.","author":"Liu Xiaochun","year":"2019","unstructured":"Xiaochun Liu , Ib\u00f3n Guill\u00e9n , Marco La Manna , Ji Hyun Nam, Syed Azer Reza, Toan Huu Le, Adrian Jarabo, Diego Gutierrez, and Andreas Velten. 2019 . Non-line-of-sight imaging using phasor-field virtual wave optics. Nature ( 2019), 1--4. Xiaochun Liu, Ib\u00f3n Guill\u00e9n, Marco La Manna, Ji Hyun Nam, Syed Azer Reza, Toan Huu Le, Adrian Jarabo, Diego Gutierrez, and Andreas Velten. 2019. Non-line-of-sight imaging using phasor-field virtual wave optics. Nature (2019), 1--4."},{"key":"e_1_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3323020"},{"key":"e_1_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130884"},{"key":"e_1_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.374026"},{"key":"e_1_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Ben Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron Ravi Ramamoorthi and Ren Ng. 2020. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. arXiv:cs.CV\/2003.08934  Ben Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron Ravi Ramamoorthi and Ren Ng. 2020. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. arXiv:cs.CV\/2003.08934","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"e_1_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/2070781.2024205"},{"key":"e_1_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.3390\/instruments2040019"},{"key":"e_1_2_2_47_1","volume-title":"Transformable Bottleneck Networks. The IEEE International Conference on Computer Vision (ICCV) (Nov","author":"Olszewski Kyle","year":"2019","unstructured":"Kyle Olszewski , Sergey Tulyakov , Oliver Woodford , Hao Li , and Linjie Luo . 2019 . Transformable Bottleneck Networks. The IEEE International Conference on Computer Vision (ICCV) (Nov 2019). Kyle Olszewski, Sergey Tulyakov, Oliver Woodford, Hao Li, and Linjie Luo. 2019. Transformable Bottleneck Networks. The IEEE International Conference on Computer Vision (ICCV) (Nov 2019)."},{"key":"e_1_2_2_48_1","volume-title":"Confocal non-line-of-sight imaging based on the light-cone transform. Nature 555, 7696","author":"O'Toole Matthew","year":"2018","unstructured":"Matthew O'Toole , David B Lindell , and Gordon Wetzstein . 2018a. Confocal non-line-of-sight imaging based on the light-cone transform. Nature 555, 7696 ( 2018 ), 338. Matthew O'Toole, David B Lindell, and Gordon Wetzstein. 2018a. Confocal non-line-of-sight imaging based on the light-cone transform. Nature 555, 7696 (2018), 338."},{"key":"e_1_2_2_49_1","volume-title":"Confocal Non-line-of-sight imaging based on the light cone transform. Nature","author":"O'Toole Matthew","year":"2018","unstructured":"Matthew O'Toole , David B. Lindell , and Gordon Wetzstein . 2018b. Confocal Non-line-of-sight imaging based on the light cone transform. Nature ( 2018 ), 338--341. Issue 555. Matthew O'Toole, David B. Lindell, and Gordon Wetzstein. 2018b. Confocal Non-line-of-sight imaging based on the light cone transform. Nature (2018), 338--341. Issue 555."},{"key":"e_1_2_2_50_1","volume-title":"Proc. CVPR. 265--272","author":"Pandharkar R.","unstructured":"R. Pandharkar , A. Velten , A. Bardagjy , E. Lawson , M. Bawendi , and R. Raskar . 2011. Estimating motion and size of moving non-line-of-sight objects in cluttered environments . In Proc. CVPR. 265--272 . R. Pandharkar, A. Velten, A. Bardagjy, E. Lawson, M. Bawendi, and R. Raskar. 2011. Estimating motion and size of moving non-line-of-sight objects in cluttered environments. In Proc. CVPR. 265--272."},{"key":"e_1_2_2_51_1","volume-title":"Solid State Device Research Conference (ESSDERC)","author":"Parmesan Luca","year":"2014","unstructured":"Luca Parmesan , Neale AW Dutton , Neil J Calder , Andrew J Holmes , Lindsay A Grant , and Robert K Henderson . 2014 . A 9.8 &mu;m sample and hold time to amplitude converter CMOS SPAD pixel . In Solid State Device Research Conference (ESSDERC) , 2014 44th European. IEEE, 290--293. Luca Parmesan, Neale AW Dutton, Neil J Calder, Andrew J Holmes, Lindsay A Grant, and Robert K Henderson. 2014. A 9.8 &mu;m sample and hold time to amplitude converter CMOS SPAD pixel. In Solid State Device Research Conference (ESSDERC), 2014 44th European. IEEE, 290--293."},{"key":"e_1_2_2_52_1","volume-title":"Ellipsoidal Path Connections for Time-gated Rendering. ACM Trans. Graph. (SIGGRAPH)","author":"Pediredla Adithya","year":"2019","unstructured":"Adithya Pediredla , Ashok Veeraraghavan , and Ioannis Gkioulekas . 2019. Ellipsoidal Path Connections for Time-gated Rendering. ACM Trans. Graph. (SIGGRAPH) ( 2019 ). Adithya Pediredla, Ashok Veeraraghavan, and Ioannis Gkioulekas. 2019. Ellipsoidal Path Connections for Time-gated Rendering. ACM Trans. Graph. (SIGGRAPH) (2019)."},{"key":"e_1_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2017.7951478"},{"key":"e_1_2_2_54_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 1936--1944","author":"Richter Stephan R","year":"2018","unstructured":"Stephan R Richter and Stefan Roth . 2018 . Matryoshka networks: Predicting 3d geometry via nested shape layers . In Proceedings of the IEEE conference on computer vision and pattern recognition. 1936--1944 . Stephan R Richter and Stefan Roth. 2018. Matryoshka networks: Predicting 3d geometry via nested shape layers. In Proceedings of the IEEE conference on computer vision and pattern recognition. 1936--1944."},{"key":"e_1_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_2_2_56_1","volume-title":"Computational periscopy with an ordinary digital camera. Nature 565, 7740","author":"Saunders Charles","year":"2019","unstructured":"Charles Saunders , John Murray-Bruce , and Vivek K Goyal . 2019. Computational periscopy with an ordinary digital camera. Nature 565, 7740 ( 2019 ), 472. Charles Saunders, John Murray-Bruce, and Vivek K Goyal. 2019. Computational periscopy with an ordinary digital camera. Nature 565, 7740 (2019), 472."},{"key":"e_1_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00214"},{"key":"e_1_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00254"},{"key":"e_1_2_2_59_1","unstructured":"Vincent Sitzmann Michael Zollh\u00f6fer and Gordon Wetzstein. 2019b. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. In Advances in Neural Information Processing Systems.  Vincent Sitzmann Michael Zollh\u00f6fer and Gordon Wetzstein. 2019b. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. In Advances in Neural Information Processing Systems."},{"key":"e_1_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1190\/1.1440826"},{"key":"e_1_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00668"},{"key":"e_1_2_2_62_1","volume-title":"Flash Photography for Data-Driven Hidden Scene Recovery. 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