What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
His scientific interests lie mostly in Artificial intelligence, Algorithm, Computer vision, Interpolation and Optical flow.
His research is interdisciplinary, bridging the disciplines of Computer graphics and Artificial intelligence.
His studies in Algorithm integrate themes in fields like Feature matching, Expression and Mathematical optimization.
His study in the fields of Virtual camera under the domain of Computer vision overlaps with other disciplines such as Geography.
The study incorporates disciplines such as Ground truth, Noise and Statistical model in addition to Optical flow.
His Noise study combines topics from a wide range of disciplines, such as Image texture, Data type and Pattern recognition.
His most cited work include:
- A Database and Evaluation Methodology for Optical Flow (1693 citations)
- Fast Normalized Cross-Correlation (739 citations)
- Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation (734 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Animation, Computer graphics and Computer facial animation.
John P. Lewis interconnects Algorithm and Graphics in the investigation of issues within Artificial intelligence.
His studies deal with areas such as Entropy, Normalization and Independent component analysis as well as Algorithm.
His work in Computer vision addresses subjects such as Interpolation, which are connected to disciplines such as Morphing.
His research combines Set and Animation.
His Computer facial animation research is multidisciplinary, incorporating perspectives in Scheme, Interpolation and Expression.
He most often published in these fields:
- Artificial intelligence (51.55%)
- Computer vision (38.14%)
- Animation (23.71%)
What were the highlights of his more recent work (between 2016-2020)?
- Artificial intelligence (51.55%)
- Computer vision (38.14%)
- Deep learning (4.12%)
In recent papers he was focusing on the following fields of study:
John P. Lewis mostly deals with Artificial intelligence, Computer vision, Deep learning, Algorithm and Animation.
His work deals with themes such as Optimization problem and Machine learning, which intersect with Artificial intelligence.
John P. Lewis has included themes like Data modeling and Computer graphics in his Computer vision study.
He combines subjects such as Independence, Backpropagation and Normalization with his study of Deep learning.
His Algorithm research is multidisciplinary, incorporating elements of Initialization and Independent component analysis.
His work carried out in the field of Animation brings together such families of science as Scheme, Motion, Motion capture and Interpolation.
Between 2016 and 2020, his most popular works were:
- The Shattered Gradients Problem: If resnets are the answer, then what is the question?. (79 citations)
- The shattered gradients problem: if resnets are the answer, then what is the question? (65 citations)
- The HSIC Bottleneck: Deep Learning without Back-Propagation. (11 citations)
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