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neural fields beyond conventional cameras 2 nd workshop on neural fields beyond conventional cameras in conjunction with cvpr 2025 nashville tennessee date tbd location tbd nashville tennessee please note this webpage is out of date please refer to https neural bcc github io schedule speakers call for papers related work organizers previous editions motivation neural fields have been widely adopted for learning novel view synthesis and 3d reconstruction from rgb images by modelling transport of light in the visible spectrum this workshop focuses on neural fields beyond conventional cameras including 1 learning neural fields from data from different sensors across the electromagnetic spectrum and beyond such as lidar cryo electron microscopy cryoem thermal event cameras acoustic and more and 2 modelling associated physics based differentiable forward models and or the physics of more complex light transport reflections shadows polarization diffraction limits optics scattering in fog or water etc our goal is to bring together a diverse group of researchers using neural fields across sensor domains to foster learning and discussion in this growing area schedule tentative 9 00 9 05 welcome introduction 9 05 9 30 keynote jingyi yu 9 30 9 55 keynote sara fridovich keil 9 55 10 05 paper spotlight tbd 10 05 10 15 paper spotlight tbd 10 15 10 25 paper spotlight tbd 10 25 11 10 poster session coffee break 11 10 11 35 keynote felix heide 11 35 12 00 keynote christian richardt 12 00 12 25 keynote katherine skinner 12 25 1 00 panel discussion moderator tbd panelists tbd keynote speakers david lindell university of toronto david lindell is an assistant professor in the department of computer science at the university of toronto and founding member of the toronto computational imaging group his work is at the intersection of machine learning computational imaging and computer vision along these lines he has worked on next generation computational imaging systems for imaging around corners and through scattering media and new machine learning algorithms for representing and processing signals his work is relevant to a broad range of applications in computer graphics vision and remote sensing daniel cremers tu munich daniel cremers is a professor at technical university of munich where he holds the chair of computer vision and artificial intelligence his publications received several awards including the best paper of the year 2003 int pattern recognition society the olympus award 2004 now called german pattern recognition award and the 2005 ucla chancellor s award for postdoctoral research for pioneering research he received a starting grant 2009 two proof of concept grants 2014 2018 a consolidator grant 2015 and an advanced grant 2020 by the european research council in december 2010 he was listed among germany s top 40 researchers below 40 capital on march 1st 2016 prof cremers received the gottfried wilhelm leibniz award the biggest award in german academia in 2022 and 2023 he was listed among the top 10 most influential scholars in robotics of the last decade he serves as co founder advisor and business angel to several startups jon barron google jon barron is a senior staff research scientist at google research where he works on computer vision and machine learning he received a phd in computer science from the university of california berkeley in 2013 where he was advised by jitendra malik and he received a honours bsc in computer science from the university of toronto in 2007 he received a national science foundation graduate research fellowship in 2009 the c v ramamoorthy distinguished research award in 2013 and the pami young researcher award in 2020 his works have received awards at eccv 2016 tpami 2016 eccv 2020 iccv 2021 cvpr 2022 the 2022 communications of the acm and iclr 2023 tali treibitz university of haifa tali treibitz is heading the viseaon marine imaging lab in the school of marine sciences in the university of haifa since 2014 she received her phd degree in electrical engineering from the technion israel institute of technology in 2010 between 2010 2013 she was a post doctoral researcher in the department of computer science and engineering in the university of california san diego and in the marine physical lab in scripps institution of oceanography her lab focuses on cutting edge research in underwater computer vision scene color and 3d reconstruction automatic analysis of scenes and autonomous decision making based on visual input carl vondrick columbia university carl vondrick is an associate professor of computer science at columbia university his research focuses on computer vision and machine learning by training machines to observe and interact with their surroundings his group aims to create robust and versatile models for perception they often develop visual models that capitalize on large amounts of unlabeled data and transfer across tasks and modalities other interests include sound and language interpretable models and high level reasoning recent work includes 3d reconstruction from shadows and thermal reflections call for papers this workshop aims to bring together a diverse group of researchers using neural fields and gaussian splatting gs across sensor domains to foster learning and discussion in this growing area we welcome paper submissions on all topics related to neural fields beyond conventional cameras papers on gaussian splatting are welcomed within this accepted papers will be posted on the workshop website but will not be part of the eccv proceedings relevant topics for this workshop include but are not limited to neural field gs based reconstruction and view synthesis using non rgb sensor measurements lidar thermal event ct mri ultrasound cryo em sonar etc neural fields gs for computational imaging neural fields gs for sensor modelling and calibration neural fields gs for modelling visual cues shadows reflections polarization etc applications of the above to autonomous vehicles ar vr xr robotics medicine scientific dis covery and beyond style and author instructions paper length for new work not previously accepted or published in a peer reviewed venue please use the official templates provided by cvpr 2025 8 pages max if your paper has already been accepted or published in a peer reviewed venue you may submit it in its original format and please specify in the submission where it was previously accepted dual submissions the workshop is non archival we encourage papers accepted to cvpr 2025 to present at our workshop presentation forms all accepted papers will get poster presentations during the workshop selected papers will get oral presentations all submissions should be anonymized if you plan to submit the work for publication in the future we strongly recommend submitting a four page version to this workshop supplementary material is optional with supported formats pdf mp4 and zip all submissions should adhere to the cvpr 2025 submission guidelines wherever applicable submission portal tbd paper review timeline paper submission and supplemental material deadline tbd aoe time notification to authors tbd aoe time camera ready deadline tbd aoe time related works below is a collection of related works in the field of neural fields beyond conventional cameras please feel free to get in touch to add other works as well platonerf 3d reconstruction in plato s cave via single view two bounce lidar cvpr 2024 dynamic lidar re simulation using compositional neural fields cvpr 2024 eclipse disambiguating illumination and materials using unintended shadows cvpr 2024 e nerf neural radiance fields from a moving event camera ra l 2023 ultra nerf neural radiance fields for ultrasound imaging midl 2023 transient neural radiance fields for lidar view synthesis and 3d reconstruction neurips 2023 neural lidar fields for novel view synthesis iccv 2023 neural fields for structured lighting iccv 2023 e 2 nerf event enhanced neural radiance fields from blurry images iccv 2023 orca glossy objects as radiance field cameras cvpr 2023 humans as light bulbs 3d human reconstruction from thermal reflection cvpr 2023 seathru nerf neural radiance fields in scattering media cvpr 2023 eventnerf neural radiance fields from a single colour event camera cvpr 2023 neural interferometry image reconstruction from astronomical interferometers using transformer conditioned neural fields aaai 2022 learning neural acoustic fields neurips 2022 pandora polarization aided neural decomposition of radiance eccv 2022 medical neural radiance fields for reconstructing 3d aware ct projections from a single x ray embc 2022 törf time of flight radiance fields for dynamic scene view synthesis neurips 2021 cryodrgn2 ab initio neural reconstruction of 3d protein structures from real cryo em images iccv 2021 and many more organizers tzofi klinghoffer mit media lab shengyu huang eth zürich daniel gilo technion kushagra tiwary mit media lab akshat dave mit media lab lingjie liu univ of pennsylvania james tompkin brown university or litany nvidia technion ramesh raskar mit media lab previous workshop editions 2024 1st edition european conference on computer vision this website is licensed under a creative commons attribution sharealike 4 0 international license it borrows the source code of this website we would like to thank utkarsh sinha and keunhong park