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Muhammad Zeshan Afzal

Organizational unit Augmented Vision
Contact +49 631 20575 3494 (Kaiserslautern)

Address (Kaiserslautern) Trippstadter Straße 122D-67663 Kaiserslautern

Publications

Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation

Muhammad Saif Ullah Khan; Sankalp Sinha; Didier Stricker; Marcus Liwicki; Muhammad Zeshan Afzal

In: IEEE Access (IEEE), Vol. 12, Pages 1-1, IEEE, 11/2024.

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A Hybrid Approach for Document Layout Analysis in Document images

Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal

In: International Conference on Document Analysis and Recognition (ICDAR-2024). International Conference on Document Analysis and Recognition (ICDAR-2024), 18th International Conference on Document Analysis and Recognition, August 30 - September 4, Athen, Greece, Pages 1-15, Springer Lecture Notes in Computer Science (LNCS), Springer Nature, Switzerland, 9/2024.

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End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents

Iqraa Ehsan; Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal

In: International Journal on Document Analysis and Recognition (IJDAR), Vol. 1, Pages 1-15, Springer, 2024, Athens, Greece, 9/2024.

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All publications

Profile

  • Luminous

    Language Augmentation for Humanverse

    LUMINOUS aims at the creation of the next generation of Language Augmented XR systems, where natural language-based communication and Multimodal Large Language Models (MLLM) enable adaptation to…

  • I-Nergy

    Artificial Intelligence for Next Generation Energy

    AI spreading in the energy sector is expected to dramatically reshape energy value chain in the next years, by improving

    business processes performance, while increasing environmental sustainability,…