D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 6,089 99 World Ranking 7393 National Ranking 59

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Esa Rahtu mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Local binary patterns and Histogram. His research integrates issues of Machine learning and Hierarchy in his study of Artificial intelligence. His work deals with themes such as Object detection and Pose, which intersect with Pattern recognition.

His Computer vision research includes themes of Translation and Pooling. His Local binary patterns research is multidisciplinary, incorporating perspectives in Facial recognition system, Binary image, Image restoration and Image texture. He interconnects Binary code, Feature detection and Thresholding in the investigation of issues within Image texture.

His most cited work include:

  • Segmenting salient objects from images and videos (439 citations)
  • Fine-Grained Visual Classification of Aircraft (432 citations)
  • BSIF: Binarized statistical image features (432 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Pattern recognition, Image and Pixel are his primary areas of study. Artificial intelligence is closely attributed to Machine learning in his work. His study in the fields of Motion, Face and Local binary patterns under the domain of Computer vision overlaps with other disciplines such as Odometry.

His Pattern recognition research incorporates elements of Contextual image classification, Histogram and Facial recognition system. His Artificial neural network research includes elements of Inference, Cluster analysis, Feature vector and Information retrieval, Automatic summarization. His studies in Convolutional neural network integrate themes in fields like Transfer of learning and Pose.

He most often published in these fields:

  • Artificial intelligence (88.15%)
  • Computer vision (46.67%)
  • Pattern recognition (39.26%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (88.15%)
  • Computer vision (46.67%)
  • Pattern recognition (39.26%)

In recent papers he was focusing on the following fields of study:

Esa Rahtu mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Transformer and Code. He integrates Artificial intelligence with Encoder in his study. Esa Rahtu usually deals with Computer vision and limits it to topics linked to End-to-end principle and Segmentation.

His Pattern recognition study combines topics in areas such as State and Benchmark. As a part of the same scientific study, Esa Rahtu usually deals with the Transformer, concentrating on Closed captioning and frequently concerns with Machine translation and Speech recognition. His Face research integrates issues from Animation, Image and Visualization.

Between 2019 and 2021, his most popular works were:

  • ICface: Interpretable and Controllable Face Reenactment Using GANs (19 citations)
  • Multi-Modal Dense Video Captioning (14 citations)
  • A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer. (9 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Esa Rahtu mainly focuses on Artificial intelligence, Computer vision, Code, Transformer and Closed captioning. His research links Contrast with Artificial intelligence. Esa Rahtu has included themes like Animation and Fraction in his Computer vision study.

Code overlaps with fields such as Moment, Benchmark, Information retrieval, Sentence and Natural language user interface in his research. Esa Rahtu integrates many fields, such as Transformer, Encoder and Modalities, in his works. Esa Rahtu combines subjects such as Pixel, Source separation and Residual with his study of Sensory cue.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Fine-Grained Visual Classification of Aircraft

Subhransu Maji;Esa Rahtu;Juho Kannala;Matthew B. Blaschko.
arXiv: Computer Vision and Pattern Recognition (2013)

659 Citations

BSIF: Binarized statistical image features

Juho Kannala;Esa Rahtu.
international conference on pattern recognition (2012)

645 Citations

Segmenting salient objects from images and videos

Esa Rahtu;Juho Kannala;Mikko Salo;Janne Heikkilä.
european conference on computer vision (2010)

578 Citations

Recognition of blurred faces using Local Phase Quantization

T. Ahonen;E. Rahtu;V. Ojansivu;J. Heikkila.
international conference on pattern recognition (2008)

368 Citations

Learning a category independent object detection cascade

Esa Rahtu;Juho Kannala;Matthew Blaschko.
international conference on computer vision (2011)

211 Citations

Generating Object Segmentation Proposals Using Global and Local Search

Pekka Rantalankila;Juho Kannala;Esa Rahtu.
computer vision and pattern recognition (2014)

200 Citations

Fast and efficient saliency detection using sparse sampling and kernel density estimation

Hamed Rezazadegan Tavakoli;Esa Rahtu;Janne Heikkilä.
scandinavian conference on image analysis (2011)

196 Citations

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

Aleksei Tiulpin;Jérôme Thevenot;Esa Rahtu;Petri Lehenkari.
Scientific Reports (2018)

160 Citations

Siamese network features for image matching

Iaroslav Melekhov;Juho Kannala;Esa Rahtu.
international conference on pattern recognition (2016)

147 Citations

Rotation invariant local phase quantization for blur insensitive texture analysis

V. Ojansivu;E. Rahtu;J. Heikkila.
international conference on pattern recognition (2008)

142 Citations

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