What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Operating system
Eyal Ofek mainly investigates Artificial intelligence, Computer vision, Rendering, Computer graphics and Human–computer interaction.
His Artificial intelligence study frequently links to related topics such as Mode.
His Computer vision study combines topics from a wide range of disciplines, such as Virtual machine, Simulation and User interface.
Eyal Ofek works mostly in the field of Rendering, limiting it down to concerns involving User profile and, occasionally, Information retrieval, Data mining and User modeling.
His work deals with themes such as Point cloud and Structure from motion, which intersect with Computer graphics.
His Human–computer interaction research is multidisciplinary, incorporating perspectives in Multimedia, Software implementation, Projection mapping and Gesture.
His most cited work include:
- Detecting text in natural scenes with stroke width transform (1196 citations)
- Full-frame video stabilization with motion inpainting (427 citations)
- Mode information displayed in a mapping application (249 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Computer vision, Human–computer interaction, Virtual reality and Computer graphics.
His study connects Pattern recognition and Artificial intelligence.
His biological study spans a wide range of topics, including User interface and Surface.
Eyal Ofek combines subjects such as Mobile device, Immersion and Multimedia with his study of Human–computer interaction.
His research investigates the link between Virtual reality and topics such as Haptic technology that cross with problems in Retargeting.
A large part of his Image processing studies is devoted to Feature detection.
He most often published in these fields:
- Artificial intelligence (45.04%)
- Computer vision (43.51%)
- Human–computer interaction (25.19%)
What were the highlights of his more recent work (between 2017-2020)?
- Virtual reality (20.23%)
- Human–computer interaction (25.19%)
- Haptic technology (9.92%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Virtual reality, Human–computer interaction, Haptic technology, Mobile device and Immersion.
His Virtual reality study deals with the bigger picture of Artificial intelligence.
His studies deal with areas such as Line and PATH as well as Artificial intelligence.
His Human–computer interaction research integrates issues from User interface and Typing.
His Haptic technology research is multidisciplinary, incorporating elements of Virtual image, Controller and Actuator.
The Immersion study which covers Situated that intersects with Compositing, Virtual machine, Microsoft Windows and Dimension.
Between 2017 and 2020, his most popular works were:
- Haptic Revolver: Touch, Shear, Texture, and Shape Rendering on a Reconfigurable Virtual Reality Controller (92 citations)
- CLAW: A Multifunctional Handheld Haptic Controller for Grasping, Touching, and Triggering in Virtual Reality (84 citations)
- Haptic Links: Bimanual Haptics for Virtual Reality Using Variable Stiffness Actuation (45 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Operating system
Virtual reality, Human–computer interaction, Haptic technology, Immersion and Mobile device are his primary areas of study.
Eyal Ofek has researched Virtual reality in several fields, including User interface, Typing and Rendering.
He interconnects Path and Embodied cognition in the investigation of issues within Human–computer interaction.
To a larger extent, Eyal Ofek studies Artificial intelligence with the aim of understanding Haptic technology.
In the field of Artificial intelligence, his study on Servomotor overlaps with subjects such as Index finger.
His research in Computer vision intersects with topics in Mode and Perceived realism.
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