What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Computer vision
- Geometry
Karan Singh focuses on Artificial intelligence, Computer vision, Algorithm, Sketch and Polygon mesh.
The Artificial intelligence study combines topics in areas such as Performance prediction and Usability.
Her study explores the link between Computer vision and topics such as Computer graphics that cross with problems in Image and Lattice.
Karan Singh has included themes like Curvature, Position and Inverse dynamics in her Algorithm study.
Her research investigates the connection between Sketch and topics such as Sketch-based modeling that intersect with issues in Regularization and Range.
Her study in Polygon mesh is interdisciplinary in nature, drawing from both Robust statistics, Segmentation, Deformation and Topology.
Her most cited work include:
- Learning 3D mesh segmentation and labeling (408 citations)
- Wires: a geometric deformation technique (319 citations)
- Real time power estimation and thread scheduling via performance counters (262 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Artificial intelligence, Computer vision, Computer graphics, Animation and Sketch.
Her Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Geometric shape.
Her Motion, Segmentation and Object study in the realm of Computer vision connects with subjects such as Interface.
Her Computer graphics course of study focuses on Projection and Camera auto-calibration.
Her Animation research integrates issues from Speech recognition and Motion capture.
Her Sketch research is multidisciplinary, relying on both Algorithm, Engineering drawing, Conceptual design and Sketch-based modeling.
She most often published in these fields:
- Artificial intelligence (38.32%)
- Computer vision (33.53%)
- Computer graphics (29.94%)
What were the highlights of her more recent work (between 2017-2021)?
- Animation (17.37%)
- Human–computer interaction (12.57%)
- Artificial intelligence (38.32%)
In recent papers she was focusing on the following fields of study:
Karan Singh mainly focuses on Animation, Human–computer interaction, Artificial intelligence, Representation and Computer vision.
Her Animation study necessitates a more in-depth grasp of Computer graphics.
Her work in the fields of Computer graphics, such as Polygon mesh and Computer animation, overlaps with other areas such as Instrumentation and Frame.
Her work on Virtual reality as part of her general Human–computer interaction study is frequently connected to Set, Natural and Product design, thereby bridging the divide between different branches of science.
Karan Singh connects Artificial intelligence with Pipeline in her research.
In the field of Computer vision, her study on Optical flow estimation overlaps with subjects such as Nonlinear dimensionality reduction.
Between 2017 and 2021, her most popular works were:
- SymbiosisSketch: Combining 2D & 3D Sketching for Designing Detailed 3D Objects in Situ (50 citations)
- Visemenet: audio-driven animator-centric speech animation (38 citations)
- HoloDoc: Enabling Mixed Reality Workspaces that Harness Physical and Digital Content (16 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Geometry
Her main research concerns Animation, Human–computer interaction, Field, Conceptual design and Set.
She interconnects Skeleton, Representation, Artificial intelligence, Structure and Computer vision in the investigation of issues within Animation.
Karan Singh brings together Human–computer interaction and Natural to produce work in her papers.
Many of her Field research pursuits overlap with Computer graphics, Theme, Visualization, Direct manipulation interface and Interface.
The concepts of her Conceptual design study are interwoven with issues in Engineering drawing and Plane.
Her Augmented reality study combines topics in areas such as Sketch, Affordance, Surface and Immersion.
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