What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
Zhengyou Zhang spends much of his time researching Artificial intelligence, Computer vision, Epipolar geometry, Fundamental matrix and Pattern recognition.
His studies link Machine learning with Artificial intelligence.
His Computer vision study frequently links to adjacent areas such as Point.
As part of the same scientific family, Zhengyou Zhang usually focuses on Fundamental matrix, concentrating on Iterative reconstruction and intersecting with Cardinal point.
The various areas that Zhengyou Zhang examines in his Camera resectioning study include Image sensor and Plane.
His Image sensor research incorporates elements of Reprojection error and Direct linear transformation.
His most cited work include:
- A flexible new technique for camera calibration (9384 citations)
- Flexible camera calibration by viewing a plane from unknown orientations (1980 citations)
- Iterative point matching for registration of free-form curves and surfaces (1972 citations)
What are the main themes of his work throughout his whole career to date?
Zhengyou Zhang mostly deals with Artificial intelligence, Computer vision, Computer graphics, Speech recognition and Multimedia.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition.
His Computer vision study is mostly concerned with Image processing, Epipolar geometry, Line segment, Feature and Object.
His Computer graphics study combines topics in areas such as Whiteboard and Video camera.
The Speech recognition study combines topics in areas such as Acoustic source localization, Speech enhancement and Microphone.
His Multimedia research includes themes of Session and Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (60.40%)
- Computer vision (49.01%)
- Computer graphics (12.62%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (60.40%)
- Computer vision (49.01%)
- Machine learning (5.69%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Machine learning, Eye tracking and Human–computer interaction are his primary areas of study.
Zhengyou Zhang regularly ties together related areas like Pattern recognition in his Artificial intelligence studies.
He integrates many fields, such as Computer vision and Displacement, in his works.
In the subject of general Machine learning, his work in Leverage, Ranking and Binary classification is often linked to Rank, thereby combining diverse domains of study.
His Eye tracking study incorporates themes from Cross-ratio, Tracking system and Gaze.
His study in Human–computer interaction is interdisciplinary in nature, drawing from both Multimedia, Gesture and Implementation.
Between 2013 and 2021, his most popular works were:
- Deeply-Supervised Nets (851 citations)
- A survey on face detection in the wild (260 citations)
- Training deep networks for facial expression recognition with crowd-sourced label distribution (185 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
His primary scientific interests are in Artificial intelligence, Machine learning, Computer vision, Speech recognition and Eye tracking.
As a part of the same scientific family, Zhengyou Zhang mostly works in the field of Artificial intelligence, focusing on Pattern recognition and, on occasion, Subspace topology.
His work in the fields of Machine learning, such as Binary classification and Ranking, overlaps with other areas such as Set and Rank.
Zhengyou Zhang has included themes like Perspective and Component in his Computer vision study.
His Speech recognition research incorporates themes from Sound localization and Headset.
Zhengyou Zhang combines subjects such as Gaze, Rendering, Immersive technology, User studies and Gesture with his study of Eye tracking.
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