What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Operating system
His scientific interests lie mostly in Computer vision, Artificial intelligence, Multimedia, Human–computer interaction and Interaction design.
His study in Computer vision is interdisciplinary in nature, drawing from both Perspective and Hall effect sensor.
As part of his studies on Artificial intelligence, Bing-Yu Chen often connects relevant subjects like Boundary.
His Multimedia research includes themes of Ubiquitous computing, Event and User-centered design.
His biological study spans a wide range of topics, including Point and Mobile device.
His research investigates the connection with Interaction design and areas like Haptic technology which intersect with concerns in Block, Computer graphics and Computer hardware.
His most cited work include:
- Video stabilization using robust feature trajectories (134 citations)
- FingerPad: private and subtle interaction using fingertips (126 citations)
- Extracting depth and matte using a color-filtered aperture (95 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, Human–computer interaction and Multimedia.
As part of his studies on Artificial intelligence, Bing-Yu Chen frequently links adjacent subjects like Pattern recognition.
As part of one scientific family, Bing-Yu Chen deals mainly with the area of Computer vision, narrowing it down to issues related to the Frame, and often Image stabilization.
His research on Computer graphics frequently connects to adjacent areas such as Set.
Bing-Yu Chen combines subjects such as User interface, Interface and Haptic technology with his study of Human–computer interaction.
His research in Interface intersects with topics in Computer hardware and Wearable computer.
He most often published in these fields:
- Artificial intelligence (37.83%)
- Computer vision (34.78%)
- Computer graphics (20.87%)
What were the highlights of his more recent work (between 2016-2021)?
- Haptic technology (8.26%)
- Human–computer interaction (13.04%)
- Artificial intelligence (37.83%)
In recent papers he was focusing on the following fields of study:
Bing-Yu Chen focuses on Haptic technology, Human–computer interaction, Artificial intelligence, Virtual reality and Computer vision.
His Haptic technology research incorporates themes from Modality, Touchscreen, Usability and Control theory.
His Human–computer interaction study integrates concerns from other disciplines, such as Immersion, Gesture and Rendering.
He connects Artificial intelligence with Learning progress in his research.
The concepts of his Virtual reality study are interwoven with issues in Pixel, Interface, Proxy, DC motor and Focus.
His Computer vision research incorporates elements of Network architecture, Deep learning and Computer graphics.
Between 2016 and 2021, his most popular works were:
- PuPoP: Pop-up Prop on Palm for Virtual Reality (32 citations)
- Outside-In: Visualizing Out-of-Sight Regions-of-Interest in a 360° Video Using Spatial Picture-in-Picture Previews (32 citations)
- Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study (31 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Operating system
His primary areas of investigation include Haptic technology, Virtual reality, Artificial intelligence, Simulation and Proxy.
His Haptic technology study combines topics in areas such as DC motor and Human–computer interaction.
His work deals with themes such as Pixel and Interface, which intersect with Virtual reality.
His studies in Artificial intelligence integrate themes in fields like Ranking, Algorithm design, Computer graphics and Computer vision.
His work in Computer vision is not limited to one particular discipline; it also encompasses Google Cardboard.
The Simulation study combines topics in areas such as Ball, Elasticity, Servomotor and Resistive touchscreen.
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