What is he best known for?
The fields of study Longin Jan Latecki is best known for:
- Bipartite graph
- Statistics
- Geometry
His Geometry study frequently involves adjacent topics like Point (geometry) and Geodesic.
Artificial intelligence and Natural language processing are two areas of study in which he engages in interdisciplinary work.
He performs multidisciplinary study on Computer vision and Computer graphics (images) in his works.
He applies his multidisciplinary studies on Computer graphics (images) and Computer vision in his research.
His Segmentation study frequently draws connections to adjacent fields such as Heat kernel signature.
His Heat kernel signature study typically links adjacent topics like Segmentation.
His research on Image (mathematics) frequently links to adjacent areas such as Similarity (geometry).
His studies link Image (mathematics) with Similarity (geometry).
He carries out multidisciplinary research, doing studies in Algorithm and Programming language.
His most cited work include:
- Shape similarity measure based on correspondence of visual parts (427 citations)
- Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution (388 citations)
- Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution (342 citations)
What are the main themes of his work throughout his whole career to date
Longin Jan Latecki integrates many fields, such as Artificial intelligence and Data mining, in his works.
Borrowing concepts from Artificial intelligence, he weaves in ideas under Data mining.
He performs multidisciplinary studies into Computer vision and Computer graphics (images) in his work.
Longin Jan Latecki combines Computer graphics (images) and Computer vision in his studies.
Image (mathematics) is closely attributed to Similarity (geometry) in his study.
His Similarity (geometry) study frequently draws parallels with other fields, such as Image (mathematics).
His multidisciplinary approach integrates Algorithm and Programming language in his work.
His research ties Set (abstract data type) and Programming language together.
Combinatorics is often connected to Topology (electrical circuits) in his work.
Longin Jan Latecki most often published in these fields:
- Artificial intelligence (89.42%)
- Computer vision (54.81%)
- Pattern recognition (psychology) (52.88%)
What were the highlights of his more recent work (between 2018-2022)?
- Artificial intelligence (100.00%)
- Pattern recognition (psychology) (76.92%)
- Computer vision (46.15%)
In recent works Longin Jan Latecki was focusing on the following fields of study:
His research investigates the link between Maximization and topics such as Mathematical optimization that cross with problems in Minification.
His Minification study frequently draws parallels with other fields, such as Mathematical optimization.
His study on Programming language is interrelated to topics such as Pascal (unit), Process (computing), Solver and Set (abstract data type).
While working on this project, he studies both Process (computing) and Operating system.
His Operating system study frequently draws parallels with other fields, such as Encoder.
His research brings together the fields of Programming language and Set (abstract data type).
His Mathematical analysis study typically links adjacent topics like Domain (mathematical analysis) and Generalization.
Longin Jan Latecki undertakes interdisciplinary study in the fields of Domain (mathematical analysis) and Mathematical analysis through his research.
His Image (mathematics) study is focused on Similarity (geometry) and Image retrieval.
Between 2018 and 2022, his most popular works were:
- Weakly supervised mitosis detection in breast histopathology images using concentric loss (92 citations)
- Multi-scale deep context convolutional neural networks for semantic segmentation (92 citations)
- AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network (59 citations)
In his most recent research, the most cited works focused on:
- Computer vision
- Artificial intelligence
- Image segmentation
Longin Jan Latecki combines Pattern recognition (psychology) and Perception in his studies.
Longin Jan Latecki undertakes interdisciplinary study in the fields of Perception and Pattern recognition (psychology) through his research.
Segmentation is closely attributed to Image segmentation in his research.
His Image segmentation study typically links adjacent topics like Segmentation.
In his works, Longin Jan Latecki performs multidisciplinary study on Artificial intelligence and Natural language processing.
Longin Jan Latecki performs integrative Natural language processing and Artificial intelligence research in his work.
Longin Jan Latecki integrates Computer vision and Pixel in his studies.
In his articles, he combines various disciplines, including Pixel and Computer vision.
He regularly ties together related areas like Neuroscience in his Visual attention studies.
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