T M Feroz Ali
Doctoral Research Schollar
Vision and Image Processing Lab
Department of Electrical Engineering
Indian Institute of Technology Bombay
Email: ferozalitm@ee.iitb.ac.in

Google Scholar / GitHub / CV

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.

Research

My long-term research goal is to develop machine learning algorithms for solving computer vision problems with human-like efficiency and adaptability. In my doctoral research, I have been mainly working on distance metric learning methods for person re-identification in video surveillance cameras. My current research focus is on zero-shot learning, few-shot learning, self-supervised learning as well as the intersection of vision and language.

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}
    }
    	
  • Theoretical analysis of Null Foley-Sammon Transform and its Implications
    T M Feroz Ali, Subhasis Chaudhuri

    (under review) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

  • 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
  • @inproceedings{t2019semi,
      title={A semi-supervised maximum margin metric learning approach for small scale person re-identification},
      author={T Ali, M Feroz and Chaudhuri, Subhasis},
      booktitle={Proceedings of the IEEE International Conference on Computer Vision Workshops},
      year={2019}
    }
    	
  • 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
  • @article{ali2019multiple,
      title={Multiple kernel fisher discriminant metric learning for person re-identification},
      author={Ali, TM and Patel, Kalpesh K and Velmurugan, Rajbabu and Chaudhuri, Subhasis},
      journal={arXiv preprint arXiv:1910.03923},
      year={2019}
    }
    	
  • Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
    T M Feroz Ali, Subhasis Chaudhuri

    ACM Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Jodhpur, India, December 20-21.

    Code: [Python], [Matlab] | Code | arXiv | PDF| bibtex
  • @article{ali2019cross,
      title={Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification},
      author={Ali, TM and Chaudhuri, Subhasis},
      journal={arXiv preprint arXiv:1909.11316},
      year={2019}
    }
    	
  • Kernel Maximum Margin Metric Learning for Person Re-identification and Novelty Detection
    T M Feroz Ali, Subhasis Chaudhuri

    (under preparation) IEEE Transactions on Image Processing (TIP).

  • Multiple Kernel Metric Learning and Dual Cross-view Reciprocal Re-ranking for Person Re-identification
    T M Feroz Ali, Kalpesh K Patel, Rajbabu Velmurugan, Subhasis Chaudhuri

    (under review) Journal of Visual Communication and Image Representation (JVCIR).

  • Co-segmentation using a Classification Framework
    Avik Hati, T M Feroz Ali, Rajbabu Velmurugan, Subhasis Chaudhuri

    Book chapter in Image Cosegmentation, Springer (under preparation).

  • 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 Visual Computer: International Jouranl of Computer Graphics), Springer.
  • Reviewer for National Conference on Communication NCC-2015 and NCC-2021).