What is he best known for?
The fields of study Frédo Durand is best known for:
- Computer graphics (images)
- Pixel
- Computer vision
His study on Programming language is mostly dedicated to connecting different topics, such as Pipeline (software) and Set (abstract data type).
Set (abstract data type) and Programming language are commonly linked in his work.
His research ties Pattern recognition (psychology) and Artificial intelligence together.
His research ties Artificial intelligence and Pattern recognition (psychology) together.
As part of his studies on Computer vision, Frédo Durand frequently links adjacent subjects like Magnification.
His research on Image (mathematics) frequently links to adjacent areas such as Noise (video).
His Noise (video) study frequently draws connections to adjacent fields such as Image (mathematics).
In his work, he performs multidisciplinary research in Computer graphics (images) and Image processing.
In his papers, he integrates diverse fields, such as Image processing and Computer graphics (images).
His most cited work include:
- Eulerian video magnification for revealing subtle changes in the world (803 citations)
- Image and depth from a conventional camera with a coded aperture (651 citations)
- A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach (503 citations)
What are the main themes of his work throughout his whole career to date
Frédo Durand brings together Artificial intelligence and Algorithm to produce work in his papers.
Frédo Durand performs multidisciplinary study in Algorithm and Computer graphics (images) in his work.
Frédo Durand integrates many fields, such as Computer graphics (images) and Computer vision, in his works.
His research on Computer vision frequently connects to adjacent areas such as Image (mathematics).
His research on Image (mathematics) often connects related areas such as Image processing.
With his scientific publications, his incorporates both Image processing and Artificial intelligence.
His multidisciplinary approach integrates Rendering (computer graphics) and Global illumination in his work.
Frédo Durand undertakes interdisciplinary study in the fields of Global illumination and Rendering (computer graphics) through his works.
Frédo Durand most often published in these fields:
- Artificial intelligence (83.33%)
- Computer vision (73.19%)
- Computer graphics (images) (55.07%)
What were the highlights of his more recent work (between 2019-2022)?
- Artificial intelligence (75.00%)
- Algorithm (75.00%)
- Computer vision (50.00%)
In recent works Frédo Durand was focusing on the following fields of study:
His work on Algorithm is being expanded to include thematically relevant topics such as Compressed sensing, Decoding methods and Quantization (signal processing).
His Algorithm research extends to Decoding methods, which is thematically connected.
Many of his studies on Operating system apply to Speedup and Snapshot (computer storage) as well.
His Operating system research extends to Speedup, which is thematically connected.
Frédo Durand combines topics linked to Compiler and Overhead (engineering) with his work on Programming language.
Frédo Durand conducted interdisciplinary study in his works that combined Compiler and Memory model.
Overhead (engineering) is often connected to Programming language in his work.
Frédo Durand merges Artificial intelligence with Biomimetics in his research.
Computer vision and Iterative reconstruction are commonly linked in his work.
Between 2019 and 2022, his most popular works were:
- Unbiased warped-area sampling for differentiable rendering (34 citations)
- Plug-and-Play Algorithms for Video Snapshot Compressive Imaging (19 citations)
- QuanTaichi (18 citations)
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