What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Programming language
Philipp Slusallek mostly deals with Ray tracing, Rendering, Computer graphics, Global illumination and Artificial intelligence.
His Ray tracing study incorporates themes from Computer hardware, Frame rate, Parallel computing, Tree traversal and Graphics.
His Rendering study combines topics in areas such as Scalability, Real-time computing and Implementation.
Philipp Slusallek combines subjects such as Application programming interface and Polygon with his study of Computer graphics.
His Global illumination study integrates concerns from other disciplines, such as Algorithm, Path tracing, Distributed ray tracing and Interface.
His Artificial intelligence research includes themes of Point and Computer vision.
His most cited work include:
- Parallel & distributed processing (2635 citations)
- RPU: a programmable ray processing unit for realtime ray tracing (249 citations)
- Stackless KD-Tree Traversal for High Performance GPU Ray Tracing (208 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer graphics, Ray tracing, Rendering, Artificial intelligence and Computer vision.
His Computer graphics research integrates issues from Interactive visualization and Visualization.
He works mostly in the field of Ray tracing, limiting it down to topics relating to Graphics and, in certain cases, Scene graph.
The various areas that Philipp Slusallek examines in his Rendering study include Alternate frame rendering, Tiled rendering and Software rendering.
His Alternate frame rendering research is multidisciplinary, relying on both Real-time rendering and Texture memory.
Philipp Slusallek focuses mostly in the field of Global illumination, narrowing it down to matters related to Algorithm and, in some cases, Iterative reconstruction.
He most often published in these fields:
- Computer graphics (35.64%)
- Ray tracing (31.14%)
- Rendering (32.53%)
What were the highlights of his more recent work (between 2014-2020)?
- Artificial intelligence (23.88%)
- Computer vision (22.84%)
- Algorithm (13.49%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Algorithm, Rendering and Ray tracing.
The Algorithm study combines topics in areas such as Advanced driver assistance systems and Iterative reconstruction.
His Rendering study introduces a deeper knowledge of Computer graphics.
His work deals with themes such as Parallel computing, Tree traversal, Octree, Code generation and Real-time rendering, which intersect with Ray tracing.
His work in Octree covers topics such as 3D computer graphics which are related to areas like Computational science.
His study looks at the intersection of Global illumination and topics like Digital image with Computer graphics.
Between 2014 and 2020, his most popular works were:
- Foveated real-time ray tracing for head-mounted displays (33 citations)
- Perception-driven Accelerated Rendering (25 citations)
- Perception-driven Accelerated Rendering (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Programming language
His primary areas of investigation include Computer vision, Artificial intelligence, Pixel, Iterative reconstruction and Rendering.
Artificial intelligence is closely attributed to Ray tracing in his work.
His Ray tracing study combines topics from a wide range of disciplines, such as Partial evaluation and Implementation.
His studies deal with areas such as Image quality, Computer graphics, Scanning electron microscope and Compressed sensing as well as Pixel.
His Rendering study deals with the bigger picture of Computer graphics.
In the subject of general Computer graphics, his work in Global illumination is often linked to High dynamic range, thereby combining diverse domains of study.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
