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david b lindell david b lindell about publications people talks teaching cv david b lindell assistant professor department of computer science university of toronto i m an assistant professor in the department of computer science at the university of toronto a faculty affiliate at the vector institute a faculty fellow at axl and a founding member of the toronto computational imaging group my research focuses on physically based intelligent sensing a paradigm that combines physically based models signal processing and artificial intelligence to break the limits of current sensing systems and re think how we reconstruct the world from captured visual information recent work in my group spans methods that recover geometry and material properties from ultrafast videos of light propagation large scale generative models that tackle ill posed problems in video and 4d reconstruction and emerging sensing systems that exploit individual photon detections and the coherent properties of light to unlock new capabilities in imaging and 3d reconstruction my work contributes broadly to applications across computational imaging computer graphics computer vision and robotics news may 2026 i ll be giving a talk at the computational cameras and displays workshop at cvpr 2026 may 2026 six papers accepted to cvpr including three selected as highlights dec 2025 two papers accepted to siggraph asia one paper accepted to neurips and one paper accepted to 3dv nov 2025 i m giving a keynote at graphquon 2025 oct 2025 i m speaking at the unilight workshop the workshop on computer vision with single photon cameras and co organizing a workshop on world models at iccv 2025 jun 2025 neural inverse rendering from propagating light received the best student paper award at cvpr 2025 apr 2025 i received the ontario early researcher award mar 2025 four papers accepted to cvpr including three selected for oral presentation opportunistic tof neural inverse rendering with propagating light cap4d and ac3d dec 2024 i m speaking about neural rendering at the speed of light at the korea ai summit 2024 sep 2024 two papers accepted to wacv one paper accepted to neurips one paper accepted to siggraph asia and two papers accepted to iclr aug 2024 i ll be speaking at the eccv workshop on neural fields beyond conventional cameras on sep 30 aug 2024 two papers accepted to eccv check out flying with photons and tc4d may 2024 i received the sony faculty innovation award and the sony focused research award mar 2024 i received the google research scholar award a big thank you to google research for their support feb 2024 three papers accepted to cvpr congrats to kejia maxx parsa and sherwin who led these projects oct 2023 passive ultra wideband single photon imaging wins the best paper award marr prize at iccv 2023 oct 2023 papers accepted to iccv oral and neurips spotlight sep 2023 three new students joining the group welcome victor sherwin and maxx mar 2023 sparsepose accepted to cvpr 2023 oct 2022 two papers accepted to neurips 2022 check out residual mfns and neural articulated radiance fields mar 2022 bacon accepted to cvpr 2022 dec 2021 we describe a new type of interpretible neural network with an analytical fourier spectrum in bacon band limited coordinate networks aug 2021 i m honored to receive the 2021 siggraph outstanding doctoral dissertation honorable mention award may 2021 our paper on scaling up implicit representations using adaptive coordinate networks is accepted to siggraph 2021 mar 2021 autoint accepted to cvpr 2021 code is also available here jan 2021 officially graduated my dissertation is entitled computational imaging with single photon detectors dec 2020 our method to solve integral equations with neural networks is out autoint automatic integration for fast neural volume rendering sep 2020 our paper on sinusoidal representation networks siren https vsitzmann github io siren was accepted as an oral to neurips 1 acceptance rate sep 2020 my paper on imaging through scattering media was published in nature communications https www nature com articles s41467 020 18346 3 and featured in stanford news https news stanford edu 2020 09 09 seeing objects clouds fog aug 2020 my thesis presentation computational single photon imaging received the honorable mention award at the siggraph thesis fast forward https s2020 siggraph org conference program events graduate cohorts thesis fast forward aug 2020 my course on computational time resolved imaging single photon sensing and non line of sight imaging https dl acm org doi abs 10 1145 3388769 3407481 is live at siggraph i m joined by excellent instructors matthew o toole ramesh raskar and srinivas narasimhan jul 2020 our paper on 3d imaging with an rgb camera and a single spad transient was accepted to eccv jul 2020 i was recognized as an outstanding reviewer http cvpr2020 thecvf com reviewer acknowledgements for cvpr 2020 136 3663 reviewers selected jun 2020 three papers accepted recently non line of sight surface reconstruction using the directional light cone transform oral cvpr 2020 spadnet deep rgb spad sensor fusion assisted by monocular depth estimation optics express and deep adaptive lidar end to end optimization of sampling and depth completion at low sampling rates iccp 2020 may 2020 i m co chairing the 9th annual computational cameras and displays workshop http ccd2020 cms caltech edu at cvpr 2020 with achuta kadambi https visual ee ucla edu and katie bouman http users cms caltech edu klbouman mar 2020 update my talk is featured on the ted website https go ted com davidlindell with nearly a quarter million views jan 2020 my tedxbeaconstreet talk on a camera to see around corners is up on youtube https www youtube com watch v ytxzc1wbtji may 2019 two papers accepted acoustic non line of sight imaging was accepted as an oral to cvpr and wave based non line of sight imaging using fast f k migration was accepted to siggraph jun 2018 i m interning at the intelligent systems lab at intel this summer with vladlen koltun http vladlen info mar 2018 our paper on seeing around corners was published in nature http rdcu be imaz show all news recent press coverage veritasium jan 2026 what happens if you keep slowing down u of t news nov 2024 light in a bottle u of t researchers use ai to capture photons in motion selected publications dark3r learning structure from motion in the dark andrew y guo anagh malik saikiran tedla yutong dai yiqian qin zach salehe benjamin attal sotiris nousias kiriakos n kutulakos david b lindell cvpr 2026 highlight project pdf code efficient and training free single image diffusion models haojun qiu kiriakos n kutulakos david b lindell cvpr 2026 highlight project pdf inter photon limited videography andrew xie dongyu du sotiris nousias david b lindell kiriakos n kutulakos cvpr 2026 highlight pdf generating the past present and future from a motion blurred image saikiran tedla kelly zhu trevor canham felix taubner michael s brown kiriakos n kutulakos david b lindell acm trans graph siggraph asia 2025 project pdf code neural inverse rendering from propagating light anagh malik benjamin attal andrew xie matthew o toole david b lindell cvpr 2025 best student paper award project pdf code opportunistic single photon time of flight sotiris nousias mian wei howard xiao maxx wu shahmeer athar kevin j wang anagh malik david a barmherzig david b lindell kyros kutulakos cvpr 2025 oral presentation project pdf cap4d creating animatable 4d portrait avatars with morphable multi view diffusion models felix taubner ruihang zhang mathieu tuli david b lindell cvpr 2025 oral presentation project pdf code coherent optical modems for full wavefield lidar parsa mirdehghan brandon buscaino maxx wu doug charlton mohammad e mousa pasandi kiriakos n kutulakos david b lindell siggraph asia 2024 project pdf flying with photons rendering novel views of propagating light anagh malik noah juravsky ryan po gordon wetzstein kiriakos n kutulakos david b lindell eccv 2024 oral presentation project pdf code 4d fy text to 4d generation using hybrid score distillation sampling sherwin bahmani ivan skorokhodov victor rong gordon wetzstein leonidas guibas peter wonka sergey tulyakov jeong joon park andrea tagliasacchi david b lindell cvpr 2024 project pdf code passive ultra wideband single photon imaging mian wei sotiris nousias rahul gulve david b lindell kiriakos n kutulakos iccv 2023 best paper marr prize project pdf video code bacon band limited coordinate networks for multiscale scene representation david b lindell dave van veen j j park gordon wetzstein cvpr 2022 oral presentation project pdf video code autoint automatic integration for fast neural volume rendering david b lindell julien n p martel gordon wetzstein cvpr 2021 project pdf video code three dimensional imaging through scattering media based on confocal diffuse tomography david b lindell gordon wetzstein nature communications 2020 2020 top 50 physics articles project pdf video code implicit neural representations with periodic activation functions vincent sitzmann julien n p martel alexander w bergman david b lindell gordon wetzstein neurips 2020 oral presentation project pdf video code wave based non line of sight imaging using fast f k migration david b lindell gordon wetzstein matthew o toole acm trans graph siggraph 2019 project pdf video code confocal non line of sight imaging based on the light cone transform matthew o toole david b lindell gordon wetzstein nature 2018 project pdf video code 2026 david b lindell tcig