David B. Lindell

According to our database, David B. Lindell authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras.

Dhruv Verma, Ian Ruffolo, David B. Lindell, Kiriakos N. Kutulakos, Alex Mariakakis

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., August, 2024

MoSS: Monocular Shape Sensing for Continuum Robots.

Chengnan Shentu, Enxu Li, Chaojun Chen, Puspita Triana Dewi, David B. Lindell, Jessica Burgner-Kahrs

IEEE Robotics Autom. Lett., February, 2024

GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling.

Victor Rong, Jingxiang Chen, Sherwin Bahmani, Kiriakos N. Kutulakos, David B. Lindell

CoRR, 2024

Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar.

Weihan Luo, Anagh Malik, David B. Lindell

CoRR, 2024

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov

CoRR, 2024

Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference.

Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet

CoRR, 2024

SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation.

Kejia Yin, Varshanth R. Rao, Ruowei Jiang, Xudong Liu, Parham Aarabi, David B. Lindell

CoRR, 2024

23, 000-Exposures/s 360fps-Readout Software-Defined Image Sensor with Motion-Adaptive Spatially Varying Imaging Speed.

Roberto Rangel, Xiaonong Sun, Ayandev Barman, Rahul Gulve, Savo Bajic, Jingmin Wang, Harry Wang, David B. Lindell, Kiriakos N. Kutulakos, Roman Genov

Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

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

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Flying with Photons: Rendering Novel Views of Propagating Light.

Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell

Proceedings of the Computer Vision - ECCV 2024, 2024

TC4D: Trajectory-Conditioned Text-to-4D Generation.

Sherwin Bahmani, Xian Liu, Wang Yifan, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B. Lindell

Proceedings of the Computer Vision - ECCV 2024, 2024

SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation.

Kejia Yin, Varshanth S. Rao, Ruowei Jiang, Xudong Liu, Parham Aarabi, David B. Lindell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TurboSL: Dense, Accurate and Fast 3D by Neural Inverse Structured Light.

Parsa Mirdehghan, Maxx Wu, Wenzheng Chen, David B. Lindell, Kiriakos N. Kutulakos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling.

Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Lens Blur Fields.

Esther Y. H. Lin, Zhecheng Wang, Rebecca Lin, Daniel Miau, Florian Kainz, Jiawen Chen, Xuaner Cecilia Zhang, David B. Lindell, Kiriakos N. Kutulakos

CoRR, 2023

Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction.

Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kyros Kutulakos, David B. Lindell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding.

Rahul Gulve, Roberto Rangel, Ayandev Barman, Don Nguyen, Mian Wei, Motasem Sakr, Xiaonong Sun, David B. Lindell, Kiriakos N. Kutulakos, Roman Genov

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

Passive Ultra-Wideband Single-Photon Imaging.

Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SparsePose: Sparse-View Camera Pose Regression and Refinement.

Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks.

Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun D. Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David B. Lindell, Shreyas Vasanawala, John M. Pauly, Akshay S. Chaudhari

CoRR, 2022

3D GAN Inversion for Controllable Portrait Image Animation.

Connor Z. Lin, David B. Lindell, Eric R. Chan, Gordon Wetzstein

CoRR, 2022

Residual Multiplicative Filter Networks for Multiscale Reconstruction.

Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generative Neural Articulated Radiance Fields.

Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Solve PDE-constrained Inverse Problems with Graph Networks.

Qingqing Zhao, David B. Lindell, Gordon Wetzstein

Proceedings of the International Conference on Machine Learning, 2022

Bacon: Band-limited Coordinate Networks for Multiscale Scene Representation.

David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Acorn: adaptive coordinate networks for neural scene representation.

Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein

ACM Trans. Graph., 2021

Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path.

Christopher A. Metzler, David B. Lindell, Gordon Wetzstein

IEEE Trans. Computational Imaging, 2021

AutoInt: Automatic Integration for Fast Neural Volume Rendering.

David B. Lindell, Julien N. P. Martel, Gordon Wetzstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Computational time-resolved imaging, single-photon sensing, and non-line-of-sight imaging.

David B. Lindell, Matthew O'Toole, Srinivasa G. Narasimhan, Ramesh Raskar

Proceedings of the SIGGRAPH 2020: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2020

Implicit Neural Representations with Periodic Activation Functions.

Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Adaptive LiDAR: End-to-end Optimization of Sampling and Depth Completion at Low Sampling Rates.

Alexander W. Bergman, David B. Lindell, Gordon Wetzstein

Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

Disambiguating Monocular Depth Estimation with a Single Transient.

Mark Nishimura, David B. Lindell, Christopher A. Metzler, Gordon Wetzstein

Proceedings of the Computer Vision - ECCV 2020, 2020

Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform.

Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Wave-based non-line-of-sight imaging using fast <i>f-k</i> migration.

David B. Lindell, Gordon Wetzstein, Matthew O'Toole

ACM Trans. Graph., 2019

Non-line-of-sight Imaging with Partial Occluders and Surface Normals.

Felix Heide, Matthew O'Toole, Kai Zang, David B. Lindell, Steven Diamond, Gordon Wetzstein

ACM Trans. Graph., 2019

Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances.

Christopher A. Metzler, David B. Lindell, Gordon Wetzstein

CoRR, 2019

Acoustic Non-Line-Of-Sight Imaging.

David B. Lindell, Gordon Wetzstein, Vladlen Koltun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Single-photon 3D imaging with deep sensor fusion.

David B. Lindell, Matthew O'Toole, Gordon Wetzstein

ACM Trans. Graph., 2018

Confocal non-line-of-sight imaging based on the light-cone transform.

Matthew O'Toole, David B. Lindell, Gordon Wetzstein

Nat., 2018

Confocal non-line-of-sight imaging.

Matthew O'Toole, David B. Lindell, Gordon Wetzstein

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2018

Real-time non-line-of-sight imaging.

Matthew O'Toole, David B. Lindell, Gordon Wetzstein

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2018

Towards transient imaging at interactive rates with single-photon detectors.

David B. Lindell, Matthew O'Toole, Gordon Wetzstein

Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018

2017

Robust Non-line-of-sight Imaging with Single Photon Detectors.

Felix Heide, Matthew O'Toole, Kai Zhang, David B. Lindell, Steven Diamond, Gordon Wetzstein

CoRR, 2017

Reconstructing Transient Images from Single-Photon Sensors.

Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT.

David B. Lindell, David G. Long

IEEE Trans. Geosci. Remote. Sens., 2016

Multiyear Arctic Ice Classification Using ASCAT and SSMIS.

David B. Lindell, David G. Long

Remote. Sens., 2016

High-Resolution Soil Moisture Retrieval With ASCAT.

David B. Lindell, David G. Long

IEEE Geosci. Remote. Sens. Lett., 2016