What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
His primary areas of investigation include Artificial intelligence, Computer vision, Surface, Animation and Iterative reconstruction.
His studies deal with areas such as Transformation and Algorithm as well as Artificial intelligence.
His Computer vision study integrates concerns from other disciplines, such as Representation and Computer graphics.
His Surface research is multidisciplinary, relying on both Point set registration, Key, Feature and Pattern recognition.
Adrian Hilton interconnects Video tracking and Computer graphics in the investigation of issues within Animation.
His Computer animation research incorporates themes from Motion and Facial motion capture.
His most cited work include:
- A survey of advances in vision-based human motion capture and analysis (2108 citations)
- Surface Capture for Performance-Based Animation (364 citations)
- Reliable Surface Reconstructiuon from Multiple Range Images (180 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Computer vision, Computer graphics, Animation and Surface.
Adrian Hilton frequently studies issues relating to Pattern recognition and Artificial intelligence.
His work carried out in the field of Pattern recognition brings together such families of science as Histogram and Feature.
His Computer vision research integrates issues from Representation and Computer animation.
His study of Character animation is a part of Computer graphics.
His Animation study combines topics in areas such as Motion and Facial motion capture.
He most often published in these fields:
- Artificial intelligence (79.73%)
- Computer vision (72.97%)
- Computer graphics (18.92%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (79.73%)
- Computer vision (72.97%)
- Pose (7.84%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Pose, Segmentation and Convolutional neural network.
Artificial intelligence connects with themes related to Pattern recognition in his study.
Computer vision and Representation are frequently intertwined in his study.
His Pose study combines topics from a wide range of disciplines, such as Deep learning, Inference and Joint.
His biological study spans a wide range of topics, including Semantics and Unsupervised learning.
His studies in Motion capture integrate themes in fields like Animation, Visual hull, Probabilistic logic, Ground truth and Inertial measurement unit.
Between 2015 and 2021, his most popular works were:
- Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors (74 citations)
- Computer vision for sports: Current applications and research topics (64 citations)
- Temporally Coherent 4D Reconstruction of Complex Dynamic Scenes (36 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
Adrian Hilton focuses on Artificial intelligence, Computer vision, Representation, Convolutional neural network and Pose.
Artificial intelligence is closely attributed to Cuboid in his work.
His work deals with themes such as Kinematics and Coherence, which intersect with Computer vision.
His study looks at the relationship between Representation and topics such as Deep learning, which overlap with Inference and State.
The study incorporates disciplines such as Virtual reality and Eye movement in addition to Convolutional neural network.
His Motion capture study also includes fields such as
- Visual hull which intersects with area such as Range, Viewpoints and Pattern recognition,
- Inertial measurement unit together with Inertial frame of reference, Animation and Motion.
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