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CV

Publications

Peer-reviewed research, ongoing manuscripts, and research presentations.

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Peer-reviewed publications

  1. Seeing Eye to AI: Comparing Human Gaze and Model Attention in Video Memorability

    Prajneya Kumar*, Eshika Khandelwal*, Makarand Tapaswi, and Vishnu Sreekumar

    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 2082–2091.

    *Equal first contribution.

    PaperPDFSupplementaryarXivProject pageCodeSummary

    BibTeX
    @InProceedings{Kumar_2025_WACV,
    author    = {Kumar, Prajneya and Khandelwal, Eshika and Tapaswi, Makarand and Sreekumar, Vishnu},
    title     = {Seeing Eye to AI: Comparing Human Gaze and Model Attention in Video Memorability},
    booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
    month     = {February},
    year      = {2025},
    pages     = {2082-2091}
}

Manuscripts in preparation

  1. Memorability Emerges from Language-Specific Semantic Structure

    Prajneya Kumar, Weizhen Xie, Wilma A. Bainbridge, and Vishnu Sreekumar

    Manuscript in preparation

    Project summary

Research presentations

  1. Word Memorability: A Cross-Cultural Perspective. Prajneya Kumar, Weizhen Xie, Wilma A. Bainbridge, and Vishnu Sreekumar. Poster, 9th Annual Conference of Cognitive Science (ACCS9), IIT Delhi, 2022.

    Poster PDF (IIIT Hyderabad showcase copy)

  2. Analysing Memorability Features of Multilingual Analogous Words in a Semantic Network. Poster, Context and Episodic Memory Symposium – International (CEMSi), University of Melbourne, 2021.

  3. Word Memorability: A Cross-Language Semantic Network-Based Perspective. Poster, IIIT Hyderabad R&D Showcase, 2022–2024.

  4. Eye vs. AI: Human Gaze and Model Attention in Video Memorability. Poster, IIIT Hyderabad R&D Showcase, 2022–2024.