What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
Artificial intelligence, Computer vision, Pattern recognition, Facial recognition system and Image processing are his primary areas of study.
Image registration, Eye tracking, Tracking, Adaptive learning and Segmentation are the primary areas of interest in his Artificial intelligence study.
Yi-Ping Hung has included themes like RANSAC, Feature, Time complexity, Algorithm and Range in his Image registration study.
His Pattern recognition research is multidisciplinary, incorporating elements of Parameter space, Object detection and Three-dimensional space.
His Facial recognition system research incorporates themes from Ranking, Machine learning and Sensor fusion.
His Image processing research integrates issues from Linear discriminant analysis, Virtual reality and Three-dimensional face recognition.
His most cited work include:
- RANSAC-based DARCES: a new approach to fast automatic registration of partially overlapping range images (310 citations)
- Ordinal hyperplanes ranker with cost sensitivities for age estimation (252 citations)
- Fast block matching algorithm based on the winner-update strategy (149 citations)
What are the main themes of his work throughout his whole career to date?
Yi-Ping Hung mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Computer graphics and Human–computer interaction.
His is involved in several facets of Artificial intelligence study, as is seen by his studies on Image processing, Feature extraction, Facial recognition system, Tracking and Object detection.
Yi-Ping Hung works mostly in the field of Computer vision, limiting it down to topics relating to Visualization and, in certain cases, Autostereoscopy and Frame rate.
His research integrates issues of Histogram, Local binary patterns, Bayesian probability and Cluster analysis in his study of Pattern recognition.
His study in Computer graphics is interdisciplinary in nature, drawing from both Augmented reality, Projection, Stereoscopy, Projector and Multi resolution.
His work deals with themes such as Multimedia, Immersion, Mobile device and Haptic technology, which intersect with Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (71.58%)
- Computer vision (59.93%)
- Pattern recognition (17.47%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (71.58%)
- Computer vision (59.93%)
- Human–computer interaction (12.33%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Human–computer interaction, Virtual reality and Haptic technology.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Mobile device and Pattern recognition.
His Pattern recognition research includes elements of Object-class detection, Similarity and Object detection.
His Computer vision study integrates concerns from other disciplines, such as Visualization and Computer graphics.
The concepts of his Human–computer interaction study are interwoven with issues in Control and Control theory.
His work in Virtual reality addresses issues such as Immersion, which are connected to fields such as Virtual image and Simulator sickness.
Between 2014 and 2021, his most popular works were:
- Abandoned Object Detection via Temporal Consistency Modeling and Back-Tracing Verification for Visual Surveillance (53 citations)
- DigitSpace: Designing Thumb-to-Fingers Touch Interfaces for One-Handed and Eyes-Free Interactions (51 citations)
- Hybrid Method for 3-D Gaze Tracking Using Glint and Contour Features (33 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Machine learning
His scientific interests lie mostly in Artificial intelligence, Computer vision, Human–computer interaction, Haptic technology and Virtual reality.
His research combines Pattern recognition and Artificial intelligence.
His work carried out in the field of Computer vision brings together such families of science as Cornea, Curvature, Pupil and Data set.
His biological study spans a wide range of topics, including Multimedia and Touchpad.
As part of one scientific family, Yi-Ping Hung deals mainly with the area of Haptic technology, narrowing it down to issues related to the Motion, and often Simulation.
His Virtual reality research incorporates elements of Optical flow, Immersion and Peripheral vision.
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