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Scopus Author ID: 57203222080

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United States

Biography

I am a highly accomplished AI and Computer Vision expert with a deep passion for image enhancement, scene understanding, and deep learning. I have a track record of pushing the boundaries of research and delivering innovative solutions. My expertise spans low-light image enhancement, object detection, and temporal action segmentation.

Activities

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Employment (6)

Lenovo: Chicago, IL, US

2022-04-04 to present | Staff Researcher (Lenovo Research)
Employment
Source: Self-asserted source
Rosaura VidalMata

IBM Research: Cambridge, MA, US

2019-06-01 to 2019-08-31 | Graduate Research Intern (MIT-IBM Watson AI Lab)
Employment
Source: Self-asserted source
Rosaura VidalMata

Thermo Fischer Scientific, Tijuana: Tijuana, Baja California, MX

2016-01-04 to 2016-05-20 | Software Engineer
Employment
Source: Self-asserted source
Rosaura VidalMata

University of Notre Dame: Notre Dame, IN, US

2015-09 to 2015-12 | Research Associate (Computer Science and Engineering)
Employment
Source: Self-asserted source
Rosaura VidalMata

Google Student Ambassador Program: Cuernavaca, Morelos, MX

2014-06 to 2015-06 | Google Student Ambassador
Employment
Source: Self-asserted source
Rosaura VidalMata

Enterprise Management Service: Cuernavaca, Morelos, MX

2014-05 to 2015-05 | Software Scpecialist
Employment
Source: Self-asserted source
Rosaura VidalMata

Education and qualifications (3)

University of Notre Dame: Notre Dame, IN, US

2016-07-01 to 2023-01-01 | Ph.D, Computer Science (Computer Science and Engineering)
Education
Source: Self-asserted source
Rosaura VidalMata

University of Notre Dame: Notre Dame, IN, US

2016-07-01 to 2020-08-03 | M.S. in Computer Science and Engineering (Computer Science and Engineering)
Education
Source: Self-asserted source
Rosaura VidalMata

Instituto Tecnologico y de Estudios Superiores de Monterrey Sede Cuernavaca: Cuernavaca, Morelos, MX

2011-08 to 2015-12 | B.S. in Computer Science
Education
Source: Self-asserted source
Rosaura VidalMata

Works (8)

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement

2025 | Book chapter
DOI: 10.1007/978-3-031-78110-0_17
Contributors: Eashan Adhikarla; Kai Zhang; Rosaura G. VidalMata; Manjushree Aithal; Nikhil Ambha Madhusudhana; John Nicholson; Lichao Sun; Brian D. Davison
Source: check_circle
Crossref

Rich Embedding Techniques to Improve Scene Understanding

2024 | Book
Contributors: VidalMata, Rosaura G
Source: Self-asserted source
Rosaura VidalMata

Report on UG2+ challenge Track 1: Assessing algorithms to improve video object detection and classification from unconstrained mobility platforms

Computer Vision and Image Understanding
2021-12 | Journal article
DOI: 10.1016/j.cviu.2021.103297
Contributors: Sreya Banerjee; Rosaura G. VidalMata; Zhangyang Wang; Walter J. Scheirer
Source: check_circle
Crossref

Bridging the Gap Between Computational Photography and Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
2021-12-01 | Journal article
DOI: 10.1109/TPAMI.2020.2996538
Contributors: Rosaura G. VidalMata; Sreya Banerjee; Brandon RichardWebster; Michael Albright; Pedro Davalos; Scott McCloskey; Ben Miller; Asong Tambo; Sushobhan Ghosh; Sudarshan Nagesh et al.
Source: check_circle
Crossref

Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems

IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN)
2021-05 | Conference paper
DOI: 10.1109/wain52551.2021.00025
Source: Self-asserted source
Rosaura VidalMata

Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences

IEEE Winter Conference on Applications of Computer Vision (WACV)
2021-01 | Conference paper
DOI: 10.1109/wacv48630.2021.00128
Source: Self-asserted source
Rosaura VidalMata

UG<sup>2</sup>: A video benchmark for assessing the impact of image restoration and enhancement on automatic visual recognition

Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018
2018 | Conference paper
DOI: 10.1109/WACV.2018.00177
EID:

2-s2.0-85050958236
Contributors: Vidal, R.G.; Banerjee, S.; Grm, K.; Struc, V.; Scheirer, W.J.
Source: Self-asserted source
Rosaura VidalMata via Scopus - Elsevier

Recognition of image-orientation-based iris spoofing

IEEE Transactions on Information Forensics and Security
2017 | Journal article
DOI: 10.1109/tifs.2017.2701332
Contributors: Adam Czajka; Kevin Bowyer; Michael Krumdick; Rosaura Vidal Mata
Source: Self-asserted source
Rosaura VidalMata via Crossref Metadata Search
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