World's Best Scientists 2026 revealed!
Ali Borji

Ali Borji

D-Index & Metrics

Computer Science

D-Index
58
Citations
24382
World Ranking
3533
National Ranking
31

Overview

Ali Borji is affiliated with Quintic AI in India and has contributed extensively to the field of computer science, particularly in areas related to computer vision, artificial intelligence, and cognitive neuroscience. Their research portfolio comprises over 100 publications, with significant work in both main and subfields of computer science.

Their primary fields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Sensory Systems
  • Experimental and Cognitive Psychology

Ali Borji's research focuses on a range of scientific topics, including:

  • Visual Attention and Saliency Detection
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Image and Video Quality Assessment
  • Anomaly Detection Techniques and Applications

They have published in several academic venues, with a strong presence in:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • SSRN Electronic Journal
  • Research Square (Research Square)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Notable recent publications by Ali Borji include:

  • "A Categorical Archive of ChatGPT Failures," 2023, Research Square (Research Square)
  • "Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2," 2022, arXiv (Cornell University)
  • "A Highly Efficient Model to Study the Semantics of Salient Object Detection," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "A Categorical Archive of ChatGPT Failures," 2023, arXiv (Cornell University)
  • "A Multistage Refinement Network for Salient Object Detection," 2020, IEEE Transactions on Image Processing

Throughout their career, Ali Borji has collaborated with multiple co-authors, frequently working with:

  • Hamed R. Tavakoli
  • Mai Xu
  • Guangtao Zhai
  • Patrick Le Callet
  • Minglang Qiao

Best Publications

  • State-of-the-Art in Visual Attention Modeling

    A. Borji;L. Itti

  • Salient Object Detection: A Benchmark

    Ali Borji;Ming-Ming Cheng;Huaizu Jiang;Jia Li

  • Structure-Measure: A New Way to Evaluate Foreground Maps

    Deng-Ping Fan;Ming-Ming Cheng;Yun Liu;Tao Li

  • Enhanced-alignment Measure for Binary Foreground Map Evaluation

    Deng-Ping Fan;Cheng Gong;Yang Cao;Bo Ren

  • Deeply Supervised Salient Object Detection with Short Connections

    Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji

  • Deeply Supervised Salient Object Detection with Short Connections

    Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji

  • Salient Object Detection: A Survey

    Ali Borji;Ming Ming Cheng;Qibin Hou;Huaizu Jiang

  • Pros and Cons of GAN Evaluation Measures

    Ali Borji

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

    Ali Borji;D. N. Sihite;L. Itti

  • Salient object detection: a benchmark

    Ali Borji;Dicky N. Sihite;Laurent Itti

  • Salient Object Detection With Pyramid Attention and Salient Edges

    Wenguan Wang;Shuyang Zhao;Jianbing Shen;Steven C. H. Hoi

  • Detect Globally, Refine Locally: A Novel Approach to Saliency Detection

    Tiantian Wang;Lihe Zhang;Shuo Wang;Huchuan Lu

  • A Stagewise Refinement Model for Detecting Salient Objects in Images

    Tiantian Wang;Ali Borji;Lihe Zhang;Pingping Zhang

  • Exploiting local and global patch rarities for saliency detection

    Ali Borji;Laurent Itti

  • Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

    Deng-Ping Fan;Ming-Ming Cheng;Jiang-Jiang Liu;Shang-Hua Gao

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

    Ali Borji

  • BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network

    Deng-Ping Fan;Yingjie Zhai;Ali Borji;Jufeng Yang

  • Revisiting Video Saliency Prediction in the Deep Learning Era

    Wenguan Wang;Jianbing Shen;Jianwen Xie;Ming-Ming Cheng

  • CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research

    Ali Borji;Laurent Itti

  • Defending Yarbus: eye movements reveal observers' task.

    Ali Borji;Laurent Itti

Frequent Co-Authors

Laurent Itti
Laurent Itti University of Southern California
Ming-Ming Cheng
Ming-Ming Cheng Nankai University
Huchuan Lu
Huchuan Lu Dalian University of Technology
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Babak Nadjar Araabi
Babak Nadjar Araabi University of Tehran
Deng-Ping Fan
Deng-Ping Fan Nankai University
Qibin Hou
Qibin Hou Nankai University
Jorma Laaksonen
Jorma Laaksonen Aalto University
Esa Rahtu
Esa Rahtu Tampere University
Wenguan Wang
Wenguan Wang Zhejiang University

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