H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 14,944 140 World Ranking 3628 National Ranking 1864

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Ali Borji mostly deals with Artificial intelligence, Pattern recognition, Salience, Segmentation and Object detection. His Artificial intelligence research integrates issues from Machine learning and Computer vision. His Pattern recognition study integrates concerns from other disciplines, such as Object and Saliency map.

The study incorporates disciplines such as Salient, Visual saliency, Visual attention and Eye movement in addition to Salience. His work is dedicated to discovering how Object detection, Artificial neural network are connected with Fixation and other disciplines. His research investigates the connection between Visualization and topics such as Kadir–Brady saliency detector that intersect with issues in Data science.

His most cited work include:

  • State-of-the-Art in Visual Attention Modeling (1367 citations)
  • Salient Object Detection: A Benchmark (905 citations)
  • Deeply Supervised Salient Object Detection with Short Connections (516 citations)

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

Ali Borji mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Salience and Machine learning. His study in Object, Visualization, Segmentation, Cognitive neuroscience of visual object recognition and Convolutional neural network is carried out as part of his studies in Artificial intelligence. His Pattern recognition research is multidisciplinary, incorporating perspectives in Object detection, Image and Deep learning.

His work on Gaze and Feature as part of his general Computer vision study is frequently connected to Natural and Graph, thereby bridging the divide between different branches of science. His research integrates issues of Salient, Visual saliency, Visual attention, Eye movement and Benchmark in his study of Salience. Ali Borji has researched Machine learning in several fields, including Adversarial system and Automatic summarization.

He most often published in these fields:

  • Artificial intelligence (86.56%)
  • Pattern recognition (34.41%)
  • Computer vision (32.26%)

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

  • Artificial intelligence (86.56%)
  • Pattern recognition (34.41%)
  • Deep learning (10.75%)

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

His main research concerns Artificial intelligence, Pattern recognition, Deep learning, Benchmark and Computer vision. His research combines Machine learning and Artificial intelligence. His research investigates the connection with Pattern recognition and areas like Channel which intersect with concerns in Leverage, Salient object detection, Depth perception and Pyramid.

His studies deal with areas such as Computational neuroscience, Object detection, Recurrent neural network and Perception as well as Deep learning. His work in Computer vision addresses issues such as Salient, which are connected to fields such as Transformation, Eye movement and Gaze. Ali Borji works mostly in the field of Visualization, limiting it down to concerns involving Visual saliency and, occasionally, Visual attention and Data science.

Between 2019 and 2021, his most popular works were:

  • Revisiting Video Saliency Prediction in the Deep Learning Era (92 citations)
  • Inferring Salient Objects from Human Fixations (62 citations)
  • Saliency Prediction in the Deep Learning Era: Successes and Limitations (49 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Ali Borji spends much of his time researching Artificial intelligence, Salience, Pattern recognition, Visualization and Deep learning. As part of his studies on Artificial intelligence, Ali Borji often connects relevant areas like Visual attention. His studies in Visual attention integrate themes in fields like Segmentation, Eye tracking, Computer vision, Overfitting and Object detection.

His Visualization study integrates concerns from other disciplines, such as Transformation, Gaze, Salient and Eye movement. His Deep learning research incorporates themes from Visual saliency, Data science and Salient objects. His Benchmark research integrates issues from Pooling, Feedforward neural network, Feature, Pyramid and Convolutional neural network.

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

State-of-the-Art in Visual Attention Modeling

A. Borji;L. Itti.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)

1904 Citations

Salient Object Detection: A Benchmark

Ali Borji;Ming-Ming Cheng;Huaizu Jiang;Jia Li.
IEEE Transactions on Image Processing (2015)

1511 Citations

Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study

Ali Borji;D. N. Sihite;L. Itti.
IEEE Transactions on Image Processing (2013)

663 Citations

Deeply Supervised Salient Object Detection with Short Connections

Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji.
computer vision and pattern recognition (2017)

618 Citations

Salient object detection: a benchmark

Ali Borji;Dicky N. Sihite;Laurent Itti.
european conference on computer vision (2012)

576 Citations

Exploiting local and global patch rarities for saliency detection

Ali Borji;Laurent Itti.
computer vision and pattern recognition (2012)

392 Citations

Salient Object Detection: A Survey

Ali Borji;Ming-Ming Cheng;Qibin Hou;Huaizu Jiang.
Computational Visual Media (2019)

359 Citations

Boosting bottom-up and top-down visual features for saliency estimation

Ali Borji.
computer vision and pattern recognition (2012)

296 Citations

Pros and Cons of GAN Evaluation Measures

Ali Borji.
Computer Vision and Image Understanding (2019)

285 Citations

Structure-Measure: A New Way to Evaluate Foreground Maps

Deng-Ping Fan;Ming-Ming Cheng;Yun Liu;Tao Li.
international conference on computer vision (2017)

279 Citations

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Best Scientists Citing Ali Borji

Huchuan Lu

Huchuan Lu

Dalian University of Technology

Publications: 89

Ming-Ming Cheng

Ming-Ming Cheng

Nankai University

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Zhi Liu

Zhi Liu

Shanghai University

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Jianbing Shen

Jianbing Shen

Beijing Institute of Technology

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Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

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Junwei Han

Junwei Han

Northwestern Polytechnical University

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Qi Zhao

Qi Zhao

University of Minnesota

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Yuming Fang

Yuming Fang

Jiangxi University of Finance and Economics

Publications: 27

Wenguan Wang

Wenguan Wang

ETH Zurich

Publications: 27

Qingming Huang

Qingming Huang

Chinese Academy of Sciences

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Huazhu Fu

Huazhu Fu

Agency for Science, Technology and Research

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Haibin Ling

Haibin Ling

Stony Brook University

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Laurent Itti

Laurent Itti

University of Southern California

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Guangtao Zhai

Guangtao Zhai

Shanghai Jiao Tong University

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John K. Tsotsos

John K. Tsotsos

York University

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Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 21

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