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. Along these lines I’ve worked on techniques to image around corners and through scattering media as well as machine learning algorithms to represent, reconstruct, and generate the appearance and geometry of 3D scenes. My work is relevant to a broad range of applications in computational imaging, computer graphics, computer vision, and remote sensing.
news
| Jun 14, 2024 |
Neural Inverse Rendering from Propagating Light received the best student paper award at CVPR 2025! |
| Apr 25, 2024 |
I received the Ontario Early Researcher Award! |
| Mar 5, 2024 |
Four papers accepted to CVPR (including three selected for oral presentation!)—Opportunistic ToF, Neural Inverse Rendering with Propagating Light, CAP4D, and AC3D. |
| Dec 5, 2024 |
I’m speaking about neural rendering at the speed of light at the Korea AI Summit 2024. |
| Sep 25, 2024 |
Two papers accepted to WACV, one paper accepted to NeurIPS, one paper accepted to SIGGRAPH Asia, and two papers accepted to ICLR. |
| Aug 20, 2024 |
I’ll be speaking at the ECCV Workshop on Neural Fields Beyond Conventional Cameras on Sep 30. |
| Aug 1, 2024 |
Two papers accepted to ECCV—check out Flying with Photons and TC4D. |
| May 1, 2024 |
I received the Sony Faculty Innovation Award and the Sony Focused Research Award! |
| Mar 29, 2024 |
I received the Google Research Scholar Award—a big thank you to Google Research for their support! |
| Feb 26, 2024 |
Three papers accepted to CVPR—congrats to Kejia, Maxx, Parsa, and Sherwin who led these projects! |
| Oct 4, 2023 |
Passive ultra-wideband single-photon imaging wins the best paper award (Marr Prize) at ICCV 2023!!! |
| Oct 1, 2023 |
Papers accepted to ICCV (oral) and NeurIPS (spotlight)! |
| Sep 1, 2023 |
Three new students joining the group—welcome Victor, Sherwin, and Maxx! |
| Mar 10, 2023 |
SparsePose accepted to CVPR 2023! |
| Oct 10, 2022 |
Two papers accepted to NeurIPS 2022–Check out Residual MFNs and Neural Articulated Radiance Fields! |
| Mar 10, 2022 |
BACON accepted to CVPR 2022! |
| Dec 9, 2021 |
We describe a new type of interpretible neural network with an analytical Fourier spectrum in BACON: Band-Limited Coordinate Networks. |
| Aug 9, 2021 |
I’m honored to receive the 2021 SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention Award! |
| May 7, 2021 |
Our paper on scaling up implicit representations using adaptive coordinate networks is accepted to SIGGRAPH 2021! |
| Mar 1, 2021 | |
| Jan 7, 2021 |
Officially graduated! My dissertation is entitled Computational Imaging with Single-Photon Detectors. |
| Dec 3, 2020 |
Our method to solve integral equations with neural networks is out! AutoInt: Automatic integration for fast neural volume rendering. |
| Sep 1, 2020 |
Our paper on Sinusoidal Representation Networks (SIREN) was accepted as an oral to NeurIPS (1% acceptance rate). |
| Sep 1, 2020 |
My paper on imaging through scattering media was published in Nature Communications and featured in Stanford News. |
| Aug 1, 2020 |
My thesis presentation “Computational Single-Photon Imaging” received the honorable mention award at the SIGGRAPH Thesis Fast Forward! |
| Aug 1, 2020 |
My course on Computational time-resolved imaging, single-photon sensing, and non-line-of-sight imaging is live at SIGGRAPH! I’m joined by excellent instructors Matthew O’Toole, Ramesh Raskar, and Srinivas Narasimhan. |
| Jul 1, 2020 | |
| Jul 1, 2020 |
I was recognized as an outstanding reviewer for CVPR 2020! (136/3663 reviewers selected) |
| Jun 1, 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 1, 2020 |
I’m co-chairing the 9th annual Computational Cameras and Displays workshop at CVPR 2020 with Achuta Kadambi and Katie Bouman. |
| Mar 1, 2020 |
Update: My talk is featured on the TED website with nearly a quarter million views! |
| Jan 1, 2020 |
My TedxBeaconStreet talk on “a camera to see around corners” is up on YouTube! |
| May 1, 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 1, 2018 |
I’m interning at the Intelligent Systems Lab at Intel this summer with Vladlen Koltun. |
| Mar 1, 2018 |
Our paper on Seeing around corners was published in Nature! |
selected publications
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CVPR 2025 (Best Student Paper Award) -
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CVPR 2025 (Oral Presentation) -
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ECCV 2024 (Oral Presentation) -
ICCV 2023 (Best Paper/Marr Prize) -
CVPR 2022 (Oral Presentation) -
Nature Communications 2020 (2020 Top 50 Physics Articles) -
NeurIPS 2020 (Oral Presentation) -
ACM Trans. Graph. (SIGGRAPH) 2019
