What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Operating system
Shahram Izadi focuses on Artificial intelligence, Computer vision, Human–computer interaction, Computer graphics and Gesture.
His Artificial intelligence research is multidisciplinary, relying on both Pipeline and Surface computing.
His studies link Surface reconstruction with Computer vision.
His biological study spans a wide range of topics, including Input device, Gesture recognition, World Wide Web, End user and 3D computer graphics.
His studies deal with areas such as Augmented reality, Virtual image, Shadow, Projection screen and Camera resectioning as well as Computer graphics.
His Gesture study combines topics in areas such as Proximity sensor, Computer hardware, Pointing device and Multi-touch.
His most cited work include:
- KinectFusion: Real-time dense surface mapping and tracking (2794 citations)
- KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera (1650 citations)
- SenseCam: a retrospective memory aid (605 citations)
What are the main themes of his work throughout his whole career to date?
Shahram Izadi spends much of his time researching Artificial intelligence, Computer vision, Human–computer interaction, Computer graphics and Object.
His research links Pattern recognition with Artificial intelligence.
His Computer vision study frequently intersects with other fields, such as Frame.
The study incorporates disciplines such as Multimedia, Mobile device and Gesture in addition to Human–computer interaction.
His work carried out in the field of Computer graphics brings together such families of science as Camera auto-calibration and Camera resectioning.
His Augmented reality study integrates concerns from other disciplines, such as Virtual reality and Rendering.
He most often published in these fields:
- Artificial intelligence (54.84%)
- Computer vision (50.65%)
- Human–computer interaction (18.39%)
What were the highlights of his more recent work (between 2016-2020)?
- Artificial intelligence (54.84%)
- Computer vision (50.65%)
- Motion capture (4.84%)
In recent papers he was focusing on the following fields of study:
Shahram Izadi mostly deals with Artificial intelligence, Computer vision, Motion capture, Rendering and Algorithm.
His study in Pixel, Tracking, Leverage, Artificial neural network and End-to-end principle falls within the category of Artificial intelligence.
His Computer vision research includes elements of Deep learning, Virtual reality and Key.
His work deals with themes such as Embedding and Field, which intersect with Motion capture.
In his study, Mobile device is strongly linked to Augmented reality, which falls under the umbrella field of Rendering.
The Algorithm study combines topics in areas such as Distortion and Texture mapping.
Between 2016 and 2020, his most popular works were:
- BundleFusion: real-time globally consistent 3D reconstruction using on-the-fly surface re-integration (333 citations)
- StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction (85 citations)
- Motion2fusion: real-time volumetric performance capture (73 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Operating system
His main research concerns Computer vision, Artificial intelligence, Motion capture, Deep learning and Key.
His Computer vision research incorporates themes from Artificial neural network, Hierarchical refinement and State.
Pose, 3D reconstruction, Convolutional neural network, Computer stereo vision and Stereo cameras are the subjects of his Artificial intelligence studies.
The concepts of his Pose study are interwoven with issues in Matching, Frame, Mixed reality and Graphics.
His research on Motion capture also deals with topics like
- Virtual reality, User experience design, RGB color model, Salient and Calibration most often made with reference to Rendering,
- Field which connect with Visual artifact, Pipeline, Tracking, Topology and Work.
His Key study incorporates themes from Augmented reality, Monocular, Virtual image, Real-time computing and Structure from motion.
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