David B. Lindell
Most Recent Affiliation(s):
- Stanford University
Bio:
SIGGRAPH 2020
David B. Lindell is a PhD candidate in the Department of Electrical Engineering at Stanford University, advised by Professor Gordon Wetzstein. His research interests are in the areas of computational imaging and remote sensing. Most recently, he has worked on developing advanced 3D imaging systems to capture objects hidden behind occluders and around corners. He received his bachelor’s and master’s degrees from Brigham Young University in 2015 and 2016.
Course Organizer:
Experience(s):
Learning Presentation(s):
Type: [Technical Papers]
Acorn: adaptive coordinate networks for neural scene representation Presenter(s): [Martel] [Lindell] [Lin] [Chan] [Monteiro] [Wetzstein]
[SIGGRAPH 2021]
Type: [Technical Papers]
Non-Line-of-Sight Imaging With Partial Occluders and Surface Normals Presenter(s): [Heide] [O'Toole] [Zang] [Lindell] [Diamond] [Wetzstein]
[SIGGRAPH 2019]
Type: [Technical Papers]
Wave-based non-line-of-sight imaging using fast f-k migration Presenter(s): [Lindell] [Wetzstein] [O’Toole]
[SIGGRAPH 2019]
Type: [Talks (Sketches)]
Confocal Non-Line-of-Sight Imaging Presenter(s): [O'Toole] [Lindell] [Wetzstein]
Entry No.: [01]
[SIGGRAPH 2018]
Type: [Technical Papers]
Single-photon 3D imaging with deep sensor fusion Presenter(s): [Lindell] [O’Toole] [Wetzstein]
Entry No.: [113]
[SIGGRAPH 2018]
Role(s):
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