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Zhiqi Kang

Ph.D. Candidate
Thoth team,
Inria

655 Av. de l'Europe, 38330 Montbonnot-Saint-Martin, France

zhiqi.kang@inria.fr


About Me

I’m a third-year Ph.D. candidate at Inria’s Thoth team, working under the supervision of Dr. Karteek Alahari. My research involves developing realistic deep learning models that learn continually (Continual Learning) from partially labeled visual information (Computer Vision) or multi-modal information (Multi-modal learning).

Prior to joining the Ph.D. program, I had the opportunity to work as a Research Engineer with Inria and Meta Reality Labs where I applied my skills to audio-visual speech processing. The project was under the mentorship of Dr. Radu Horaud (Inria), Dr. Mostafa Sadeghi (Inria) and Dr. Jacob Donley (Meta) and Dr. Anurag Kumar (Meta).

I completed my master’s degree in Machine Learning and Optimization of Complex Systems from Université de Technologie de Compiègne (Sorbonne). I obtained my engineer’s degree in Decision Data Mining from Université de Technologie de Troyes.

Research Interests

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Publications

  1. ICCV Oral
    Zhiqi Kang*, Enrico Fini*, Moin Nabi, Elisa Ricci, Karteek Alahari
    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (Oral), Oct. 2023.
  2. IJCV
    Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda
    International Journal of Computer Vision (IJCV), May 2023.
  3. ICASSP
    Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022.
  4. ICCVW
    Zhiqi Kang, Radu Horaud, Mostafa Sadeghi
    Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct. 2021.
  5. ECCVW
    Zhiqi Kang, Christina Indudhara, Kaushik Mahorker, Erik P Bucy, Jungseock Joo
    European Conference on Computer Vision Workshops (ECCVW), Aug. 2020.

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