High-Resolution Soil Moisture Retrieval With ASCAT. - David B. Lindell; David G. Long (IEEE Geosci. Remote. Sens. Lett., 2016)

Multiyear Arctic Ice Classification Using ASCAT and SSMIS. - David B. Lindell; David G. Long (Remote. Sens., 2016)

Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT. - David B. Lindell; David G. Long (IEEE Trans. Geosci. Remote. Sens., 2016)

Reconstructing Transient Images from Single-Photon Sensors. - Matthew O'Toole; Felix Heide; David B. Lindell; Kai Zang; Steven Diamond; Gordon Wetzstein (CVPR, 2017)

Robust Non-line-of-sight Imaging with Single Photon Detectors. - Felix Heide; Matthew O'Toole; Kai Zhang 045; David B. Lindell; Steven Diamond; Gordon Wetzstein (CoRR, 2017)

Towards transient imaging at interactive rates with single-photon detectors. - David B. Lindell; Matthew O'Toole; Gordon Wetzstein (ICCP, 2018)

Real-time non-line-of-sight imaging. - Matthew O'Toole; David B. Lindell; Gordon Wetzstein (SIGGRAPH Emerging Technologies, 2018)

Confocal non-line-of-sight imaging. - Matthew O'Toole; David B. Lindell; Gordon Wetzstein (SIGGRAPH Talks, 2018)

Confocal non-line-of-sight imaging based on the light-cone transform. - Matthew O'Toole; David B. Lindell; Gordon Wetzstein (Nat., 2018)

Single-photon 3D imaging with deep sensor fusion. - David B. Lindell; Matthew O'Toole; Gordon Wetzstein (ACM Trans. Graph., 2018)

Acoustic Non-Line-Of-Sight Imaging. - David B. Lindell; Gordon Wetzstein; Vladlen Koltun (CVPR, 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)

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)

Wave-based non-line-of-sight imaging using fast f-k migration. - David B. Lindell; Gordon Wetzstein; Matthew O'Toole (ACM Trans. Graph., 2019)

Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform. - Sean I. Young; David B. Lindell; Bernd Girod; David Taubman; Gordon Wetzstein (CVPR, 2020)

Disambiguating Monocular Depth Estimation with a Single Transient. - Mark Nishimura; David B. Lindell; Christopher A. Metzler; Gordon Wetzstein (ECCV (21), 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 (ICCP, 2020)

Implicit Neural Representations with Periodic Activation Functions. - Vincent Sitzmann; Julien N. P. Martel; Alexander W. Bergman; David B. Lindell; Gordon Wetzstein (NeurIPS, 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 (SIGGRAPH Courses, 2020)

AutoInt: Automatic Integration for Fast Neural Volume Rendering. - David B. Lindell; Julien N. P. Martel; Gordon Wetzstein (CVPR, 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)

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)

Bacon: Band-limited Coordinate Networks for Multiscale Scene Representation. - David B. Lindell; Dave Van Veen; Jeong Joon Park; Gordon Wetzstein (CVPR, 2022)

Learning to Solve PDE-constrained Inverse Problems with Graph Networks. - Qingqing Zhao; David B. Lindell; Gordon Wetzstein (ICML, 2022)

Generative Neural Articulated Radiance Fields. - Alexander W. Bergman; Petr Kellnhofer; Wang Yifan 001; Eric R. Chan; David B. Lindell; Gordon Wetzstein (NeurIPS, 2022)

Residual Multiplicative Filter Networks for Multiscale Reconstruction. - Shayan Shekarforoush; David B. Lindell; David J. Fleet; Marcus A. Brubaker (NeurIPS, 2022)

3D GAN Inversion for Controllable Portrait Image Animation. - Connor Z. Lin; David B. Lindell; Eric R. Chan; Gordon Wetzstein (CoRR, 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)

SparsePose: Sparse-View Camera Pose Regression and Refinement. - Samarth Sinha; Jason Y. Zhang 001; Andrea Tagliasacchi; Igor Gilitschenski; David B. Lindell (CVPR, 2023)

Passive Ultra-Wideband Single-Photon Imaging. - Mian Wei; Sotiris Nousias; Rahul Gulve; David B. Lindell; Kiriakos N. Kutulakos (ICCV, 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 (ISSCC, 2023)

Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction. - Anagh Malik; Parsa Mirdehghan; Sotiris Nousias; Kyros Kutulakos; David B. Lindell (NeurIPS, 2023)

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 (CVPR, 2024)

TurboSL: Dense, Accurate and Fast 3D by Neural Inverse Structured Light. - Parsa Mirdehghan; Maxx Wu; Wenzheng Chen; David B. Lindell; Kiriakos N. Kutulakos (CVPR, 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 (CVPR, 2024)

TC4D: Trajectory-Conditioned Text-to-4D Generation. - Sherwin Bahmani; Xian Liu; Wang Yifan 001; Ivan Skorokhodov; Victor Rong; Ziwei Liu 002; Xihui Liu; Jeong Joon Park; Sergey Tulyakov; Gordon Wetzstein; Andrea Tagliasacchi; David B. Lindell (ECCV (46), 2024)

Flying with Photons: Rendering Novel Views of Propagating Light. - Anagh Malik; Noah Juravsky; Ryan Po; Gordon Wetzstein; Kiriakos N. Kutulakos; David B. Lindell (ECCV (21), 2024)

CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (NeurIPS, 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 (SIGGRAPH Asia, 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 (VLSI Technology and Circuits, 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)

Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (CoRR, 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., 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., 2024)

Efficient Neural Network Encoding for 3D Color Lookup Tables. - Vahid Zehtab; David B. Lindell; Marcus A. Brubaker; Michael S. Brown (AAAI, 2025)

AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers. - Sherwin Bahmani; Ivan Skorokhodov; Guocheng Qian; Aliaksandr Siarohin; Willi Menapace; Andrea Tagliasacchi; David B. Lindell; Sergey Tulyakov (CVPR, 2025)

Neural Inverse Rendering from Propagating Light. - Anagh Malik; Benjamin Attal; Andrew Xie; Matthew O'Toole; David B. Lindell (CVPR, 2025)

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)

CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models. - Felix Taubner; Ruihang Zhang; Mathieu Tuli; David B. Lindell (CVPR, 2025)

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 001; Chaoyang Wang 001; Jiaxu Zou; Andrea Tagliasacchi; David B. Lindell; Sergey Tulyakov (ICLR, 2025)

SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation. - Koichi Namekata; Sherwin Bahmani; Ziyi Wu; Yash Kant; Igor Gilitschenski; David B. Lindell (ICLR, 2025)

Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar. - Weihan Luo; Anagh Malik; David B. Lindell (WACV, 2025)

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 (WACV, 2025)

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery. - Shayan Shekarforoush; David B. Lindell; Marcus A. Brubaker; David J. Fleet (CoRR, 2025)

Generative Panoramic Image Stitching. - Mathieu Tuli; Kaveh Kamali; David B. Lindell (CoRR, 2025)

Learning Lens Blur Fields. - Esther Y. H. Lin; Zhecheng Wang 001; Rebecca Lin; Daniel Miau; Florian Kainz; Jiawen Chen 001; Xuaner Zhang; David B. Lindell; Kiriakos N. Kutulakos (IEEE Trans. Pattern Anal. Mach. Intell., 2025)