2018 - Fellow of Alfred P. Sloan Foundation
Artificial intelligence, Computer vision, Computer graphics, Light field and Optics are his primary areas of study. His study explores the link between Artificial intelligence and topics such as Pattern recognition that cross with problems in State. The Computer vision study which covers Accommodation that intersects with Visual Discomfort and Binocular disparity.
His work on Computer graphics is typically connected to Compensation as part of general Computer graphics study, connecting several disciplines of science. His study in Light field is interdisciplinary in nature, drawing from both Depth perception, Eyewear, Lens and Observer. His research investigates the connection with Optics and areas like Optoelectronics which intersect with concerns in Interleaving and Aperture.
Gordon Wetzstein mainly focuses on Artificial intelligence, Computer vision, Optics, Light field and Computer graphics. His Artificial intelligence study incorporates themes from Depth perception and Non-line-of-sight propagation. While the research belongs to areas of Optics, he spends his time largely on the problem of Image quality, intersecting his research to questions surrounding Holography and Holographic display.
His Light field study combines topics in areas such as Image resolution, Parallax, Liquid-crystal display and Stereo display. His Computer graphics research incorporates themes from Projection and Human visual system model. His Virtual reality research is multidisciplinary, incorporating perspectives in Multimedia, Immersion, Perception and Gaze.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Augmented reality, Optics and Algorithm. His work is dedicated to discovering how Artificial intelligence, Pattern recognition are connected with Neural activity and other disciplines. His Computer vision research integrates issues from Optical imaging, Deep learning and Hyperspectral imaging.
The Augmented reality study combines topics in areas such as Depth perception, Virtual reality, Rendering and Holographic display. As a part of the same scientific family, Gordon Wetzstein mostly works in the field of Optics, focusing on Image quality and, on occasion, Image processing. His biological study spans a wide range of topics, including Artificial neural network, Encoder, Iterative reconstruction and Range.
Gordon Wetzstein mainly investigates Artificial intelligence, Computer vision, Artificial neural network, Augmented reality and Algorithm. Virtual reality is the focus of his Artificial intelligence research. His studies deal with areas such as Depth perception, Perspective, Optical imaging and Deep learning as well as Computer vision.
Gordon Wetzstein studied Artificial neural network and Representation that intersect with Computational science. Gordon Wetzstein interconnects Metaverse, Computer graphics, Rendering and Holographic display in the investigation of issues within Augmented reality. His Algorithm research includes elements of Current, Pooling, Iterative reconstruction and Leverage.
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Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy
Robert Prevedel;Young-Gyu Yoon;Maximilian Hoffmann;Maximilian Hoffmann;Maximilian Hoffmann;Nikita Pak.
Nature Methods (2014)
Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting
Gordon Wetzstein;Douglas Lanman;Matthew Hirsch;Ramesh Raskar.
international conference on computer graphics and interactive techniques (2012)
Compressive light field photography using overcomplete dictionaries and optimized projections
Kshitij Marwah;Gordon Wetzstein;Yosuke Bando;Ramesh Raskar.
international conference on computer graphics and interactive techniques (2013)
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann;Michael Zollhoefer;Gordon Wetzstein.
neural information processing systems (2019)
The light field stereoscope
Fu-Chung Huang;David Luebke;Gordon Wetzstein.
international conference on computer graphics and interactive techniques (2015)
The light field stereoscope: immersive computer graphics via factored near-eye light field displays with focus cues
Fu-Chung Huang;Kevin Chen;Gordon Wetzstein.
international conference on computer graphics and interactive techniques (2015)
DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann;Justus Thies;Felix Heide;Matthias NieBner.
computer vision and pattern recognition (2019)
Layered 3D: tomographic image synthesis for attenuation-based light field and high dynamic range displays
Gordon Wetzstein;Douglas Lanman;Wolfgang Heidrich;Ramesh Raskar.
international conference on computer graphics and interactive techniques (2011)
Saliency in VR: How Do People Explore Virtual Environments?
Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala.
IEEE Transactions on Visualization and Computer Graphics (2018)
Confocal non-line-of-sight imaging based on the light-cone transform.
Matthew O’Toole;David B. Lindell;Gordon Wetzstein.
Nature (2018)
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