T M Feroz Ali
Doctoral Research Schollar
Vision and Image Processing Lab
Department of Electrical Engineering
Indian Institute of Technology Bombay

Email / Google Scholar / CV

Research

I do research in Computer Vision and Machine Learning, a branch of engineering that aims to give the computers the capability to visually sense the world from images and videos, and perceive like humans using Artificial Intelligence.

About me

I am a Doctoral Research Schollar in the Department of Elecrical Engineering at Indian Institute of Technology Bombay, and a member of Vision and Image Processing Lab, under the supervision of Prof. Subhasis Chaudhuri. I completed master's degree from Department of Elecrical Engineering at Indian Institute of Technology Bombay in 2012, under the supervision of Prof. Rajbabu Velmurugan. Later I had been working at Cisco Systems, Bangalore, prior to my PhD programme.

Highlights

  • One paper accepted in ECCV 2018.
  • Our ECCV2018 paper invited as an *Oral Paper * for Vision India session in ICVGIP 2018.
  • One paper accepted in ICCVw 2019.

Publications/Preprints

  • Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-Identification
    T M Feroz Ali, Subhasis Chaudhuri
    European Conference on Computer Vision (ECCV), Munich, Germany, September 2018.

    arXiv | PDF | CMC curve | bibtex
  • @inproceedings{ali2018maximum,
      title={Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification},
      author={Ali, T M Feroz and Chaudhuri, Subhasis},
      booktitle={Proceedings of the European Conference on Computer Vision},
      year={2018},
      organization={Springer}
    }
    	
  • A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification
    T M Feroz Ali, Subhasis Chaudhuri
    IEEE International Conference on Computer Vision workshop (ICCVw), Seoul, Korea, October 2019.

    arXiv | PDF | bibtex
  • @misc{ali2019semisupervised,
        title={A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification},
        author={T M Feroz Ali and Subhasis Chaudhuri},
        year={2019},
        eprint={1910.03905},
        archivePrefix={arXiv},
        primaryClass={cs.CV}
    }
    	
  • Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification
    T M Feroz Ali, Kalpesh K Patel, Rajbabu Velmurugan, Subhasis Chaudhuri
    ACM Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Hyderabad, India, December 2018.

    arXiv | PDF | bibtex
  • @misc{ali2019multiple,
        title={Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification},
        author={T M Feroz Ali and Kalpesh K Patel and Rajbabu Velmurugan and Subhasis Chaudhuri},
        year={2019},
        eprint={1910.03923},
        archivePrefix={arXiv},
        primaryClass={cs.CV}
    }
    	
  • Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
    T M Feroz Ali, Subhasis Chaudhuri

    arXiv | PDF| bibtex
  • @misc{ali2019crossview,
        title={Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification},
        author={T M Feroz Ali and Subhasis Chaudhuri},
        year={2019},
        eprint={1909.11316},
        archivePrefix={arXiv},
        primaryClass={cs.CV}
    }
    	
  • Maneuvering, Multi-Target Tracking using Particle Filters
    T M Feroz Ali
    MTech Thesis, IIT Bombay, July 2012 (PDF)

Awards/Talks

  • Talk on 'Metric Learning for Person Re-identification' in IIT-HKBU Workshop on Data and Imaging Sciences held on February 2019 at Hong Kong Baptist University, Hong Kong.
  • Our ECCV 2018 paper invited for *Oral Talk* for ICVGIP 2018 Vision India session, conducted at IIIT Hyderabad. Selected among best papers (authored primarily by Indian researchers in the last two years) presented at top-tier international vision conferences and journals.
  • Awarded the prestigious 'Visvesvaraya' PhD fellowship 2015-2019 from Ministry of Electronics and Information Technology (Meity), Government of India.

Services

  • Reviewer for National Conference on Communication (NCC) - 2015 India.