What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Pattern recognition, Convolutional neural network and Image.
In his work, Cognitive neuroscience of visual object recognition is strongly intertwined with Machine learning, which is a subfield of Artificial intelligence.
The Computer vision study which covers Computer graphics that intersects with Active shape model and Representation.
His Convolutional neural network research incorporates elements of Artificial neural network and Hebbian theory.
As part of the same scientific family, Dragomir Anguelov usually focuses on Artificial neural network, concentrating on Image resolution and intersecting with Algorithm.
His Image study combines topics from a wide range of disciplines, such as Face, Information retrieval and Index.
His most cited work include:
- Going deeper with convolutions (19938 citations)
- SSD: Single Shot MultiBox Detector (9301 citations)
- Going Deeper with Convolutions (1453 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Computer vision, Object detection, Pattern recognition and Object.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Trajectory.
His research integrates issues of Representation and Index in his study of Computer vision.
His studies deal with areas such as Voxel, Minimum bounding box and Feature extraction as well as Object detection.
He combines subjects such as Precision and recall, Hierarchical clustering, Cognitive neuroscience of visual object recognition and Rendering with his study of Pattern recognition.
His research in Artificial neural network tackles topics such as Convolutional neural network which are related to areas like Hebbian theory.
He most often published in these fields:
- Artificial intelligence (79.12%)
- Computer vision (53.85%)
- Object detection (21.98%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (79.12%)
- Computer vision (53.85%)
- Object detection (21.98%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Object detection, Point cloud and Trajectory are his primary areas of study.
His Artificial intelligence research integrates issues from Machine learning and Pattern recognition.
He works mostly in the field of Pattern recognition, limiting it down to topics relating to Artificial neural network and, in certain cases, Lossy compression and Minimum bounding box, as a part of the same area of interest.
His study looks at the intersection of Computer vision and topics like Leverage with Iterative reconstruction.
Dragomir Anguelov integrates Object detection and Detector in his research.
His Trajectory research includes themes of Algorithm, Probabilistic logic and Motion planning.
Between 2018 and 2021, his most popular works were:
- Scalability in Perception for Autonomous Driving: Waymo Open Dataset (166 citations)
- MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. (90 citations)
- Scalability in Perception for Autonomous Driving: Waymo Open Dataset (85 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Machine learning
Dragomir Anguelov mostly deals with Artificial intelligence, Trajectory, Data mining, Metric and Scale.
His work on Lossy compression, Artificial neural network and Convolutional neural network as part of general Artificial intelligence study is frequently linked to Locality, therefore connecting diverse disciplines of science.
His studies in Trajectory integrate themes in fields like Probabilistic logic, Inference and Motion planning.
Generalization, Scalability and Range are fields of study that intersect with his Data mining research.
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