H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 68 Citations 14,967 237 World Ranking 954 National Ranking 569

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His primary areas of investigation include Computer vision, Artificial intelligence, Algorithm, Computer network and Data compression. His Monte Carlo localization research extends to the thematically linked field of Computer vision. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Pattern recognition and Laser scanning.

His Algorithm study integrates concerns from other disciplines, such as Aerial image, Mathematical optimization, Computer graphics and Optical proximity correction. His work deals with themes such as Real-time computing and Communication channel, which intersect with Computer network. His work on Context-adaptive binary arithmetic coding as part of general Data compression study is frequently linked to Video quality, therefore connecting diverse disciplines of science.

His most cited work include:

  • Multirate 3-D subband coding of video (576 citations)
  • Iterative procedures for reduction of blocking effects in transform image coding (490 citations)
  • Applications of video-content analysis and retrieval (300 citations)

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

Avideh Zakhor mainly investigates Artificial intelligence, Computer vision, Algorithm, Data compression and Computer network. The study incorporates disciplines such as Lidar and Pattern recognition in addition to Artificial intelligence. His study connects Computer graphics and Computer vision.

His study looks at the intersection of Algorithm and topics like Discrete cosine transform with Matching pursuit. In Data compression, Avideh Zakhor works on issues like Motion compensation, which are connected to Block-matching algorithm. His Computer network research incorporates elements of Real-time computing, Throughput and Communication channel.

He most often published in these fields:

  • Artificial intelligence (39.45%)
  • Computer vision (34.25%)
  • Algorithm (26.91%)

What were the highlights of his more recent work (between 2013-2021)?

  • Artificial intelligence (39.45%)
  • Computer vision (34.25%)
  • Point cloud (7.95%)

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

His primary areas of study are Artificial intelligence, Computer vision, Point cloud, Lidar and Floor plan. His Artificial intelligence study which covers Machine learning that intersects with Turing machine. Avideh Zakhor interconnects Pipeline and Computer graphics in the investigation of issues within Computer vision.

His work in the fields of Computer graphics, such as 3D modeling and Computer graphics, intersects with other areas such as Field. His Point cloud research incorporates themes from Image sensor, Structured light and Motion capture. His work focuses on many connections between Floor plan and other disciplines, such as Building model, that overlap with his field of interest in Real-time computing and Computational science.

Between 2013 and 2021, his most popular works were:

  • Sensor fusion for semantic segmentation of urban scenes (63 citations)
  • Floor plan generation and room labeling of indoor environments from laser range data (48 citations)
  • Fast, Automated, Scalable Generation of Textured 3D Models of Indoor Environments (47 citations)

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

  • Artificial intelligence
  • Computer vision
  • Statistics

His scientific interests lie mostly in Artificial intelligence, Computer vision, Floor plan, Computer graphics and Segmentation. Avideh Zakhor regularly links together related areas like Polygon mesh in his Artificial intelligence studies. Many of his studies on Computer vision involve topics that are commonly interrelated, such as Mobile device.

His work carried out in the field of Floor plan brings together such families of science as Simultaneous localization and mapping, Grid, Building model and Mobile mapping. His studies deal with areas such as Feature, Polygon, Reduction, Object and Octree as well as Computer graphics. The various areas that he examines in his Segmentation study include Satellite imagery, Image processing, Constant false alarm rate, Shadow and Line segment.

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

Multirate 3-D subband coding of video

D. Taubman;A. Zakhor.
IEEE Transactions on Image Processing (1994)

1007 Citations

Iterative procedures for reduction of blocking effects in transform image coding

A. Zakhor.
IEEE Transactions on Circuits and Systems for Video Technology (1992)

735 Citations

Real-time Internet video using error resilient scalable compression and TCP-friendly transport protocol

Wai-Tian Tan;A. Zakhor.
IEEE Transactions on Multimedia (1999)

451 Citations

Applications of video-content analysis and retrieval

N. Dimitrova;Hong-Jiang Zhang;B. Shahraray;I. Sezan.
IEEE MultiMedia (2002)

421 Citations

Very low bit-rate video coding based on matching pursuits

R. Neff;A. Zakhor.
IEEE Transactions on Circuits and Systems for Video Technology (1997)

410 Citations

Fast optical and process proximity correction algorithms for integrated circuit manufacturing

Nicolas Bailey Cobb;Avideh Zakhor.
(1998)

364 Citations

Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images

Christian Frueh;Siddharth Jain;Avideh Zakhor.
International Journal of Computer Vision (2005)

350 Citations

An optimization approach for removing blocking effects in transform coding

S. Minami;A. Zakhor.
IEEE Transactions on Circuits and Systems for Video Technology (1995)

315 Citations

Efficient video similarity measurement with video signature

S.-S. Cheung;A. Zakhor.
IEEE Transactions on Circuits and Systems for Video Technology (2003)

295 Citations

An Automated Method for Large-Scale, Ground-Based City Model Acquisition

Christian Früh;Avideh Zakhor.
International Journal of Computer Vision (2004)

295 Citations

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