Rosaura G. VidalMata

Research Scientist | Computer Vision

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I am a Computer Vision Researcher and AI Researcher at Lenovo Research with a Ph.D. in Computer Science and Engineering from the University of Notre Dame.

I specialize in camera pipelines, edge model optimization, and visual recognition under severe constraints. My work focuses on deploying real-time neural perception in PyTorch and C++ across mobile and PC platforms, bridging the gap between computational photography and visual recognition, with first-author papers in venues including IEEE TPAMI and WACV.

news

Mar 18, 2026 Showcasing our dual-camera video depth-segmentation pipeline at the Lenovo booth during NVIDIA GTC 2026!
Mar 01, 2026 I was recently featured in the ‘Women in Computer Vision’ WACV Daily Feature! You can read the article here.
Feb 15, 2026 I had the honor of being a panelist and poster session moderator at the CRA UR2PhD Workshop in New Orleans.
Jan 10, 2026 Our paper “LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset” was published at the 2026 IEEE Winter Conference on Applications of Computer Vision (WACV)! Check out the project page and dataset on Hugging Face.

selected publications

  1. lenviz.png
    LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset
    M. Aithal, R. G. VidalMata, M. Kartha, and 6 more authors
    In 2026 IEEE Winter Conference on Applications of Computer Vision (WACV), 2026
  2. jvte.png
    Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
    R. G. VidalMata, W. J. Scheirer, A. Kukleva, and 2 more authors
    In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
  3. bridginggap.png
    Bridging the Gap Between Computational Photography and Visual Recognition
    R. G. VidalMata and others
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020