What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Topology
Tong-Yee Lee spends much of his time researching Computer vision, Artificial intelligence, Image warping, Retargeting and Pixel.
His Computer vision research is multidisciplinary, incorporating elements of Algorithm and Computation.
His biological study deals with issues like Seam carving, which deal with fields such as Scaling and Human visual system model.
His research in Retargeting intersects with topics in Motion, Object motion and Distortion.
The various areas that Tong-Yee Lee examines in his Pixel study include Video tracking, Motion compensation and Feature.
His study in Segmentation is interdisciplinary in nature, drawing from both Mesh geometry, Visualization, Observer and Computer graphics.
His most cited work include:
- Optimized scale-and-stretch for image resizing (531 citations)
- Skeleton extraction by mesh contraction (383 citations)
- Motion-aware temporal coherence for video resizing (104 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Computer vision, Computer graphics, Computer graphics and Algorithm.
His work on Artificial intelligence deals in particular with Visualization, Retargeting, Seam carving, Image and Data visualization.
His Computer vision research is multidisciplinary, relying on both Animation and Computer animation.
His Computer graphics study integrates concerns from other disciplines, such as Smoothing, Ray tracing, Image texture and Parallel computing.
Tong-Yee Lee has included themes like Polygon mesh, Genus, Embedding, Interpolation and Texture mapping in his Algorithm study.
His Image warping research includes elements of Boundary and Stereoscopy.
He most often published in these fields:
- Artificial intelligence (59.31%)
- Computer vision (55.17%)
- Computer graphics (22.76%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (59.31%)
- Computer vision (55.17%)
- Image (8.28%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Image, Style and Computer graphics.
His work on Artificial intelligence is being expanded to include thematically relevant topics such as Pattern recognition.
His Computer vision study frequently draws connections between adjacent fields such as Autoencoder.
His Computer graphics research incorporates elements of Path and Usability.
His study explores the link between Seam carving and topics such as Ranking that cross with problems in Image resolution.
He has researched Retargeting in several fields, including Object and Deep learning.
Between 2017 and 2021, his most popular works were:
- Photo Squarization by Deep Multi-Operator Retargeting (10 citations)
- Intrinsic Image Decomposition with Step and Drift Shading Separation (10 citations)
- Generation of Escher Arts with Dual Perception (4 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Computer graphics
Tong-Yee Lee mostly deals with Computer vision, Artificial intelligence, Real image, Decomposition and Reflectivity.
Computer vision and Ray tracing are frequently intertwined in his study.
His research related to Depth of field, Salient, Retargeting, Thumbnail and Seam carving might be considered part of Artificial intelligence.
The study of Real image is intertwined with the study of Shading in a number of ways.
This overview was generated by a machine learning system which analysed the scientist’s
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