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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

Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection

Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. International Conference on Computer Vision and Pattern Recognition (CVPR-2024), June 17-21, Seattle, WA, USA, IEEE/CVF, USA, 6/2024.

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FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision

Khurram Azeem Hashmi; Goutham Kallempudi; Didier Stricker; Muhammad Zeshan Afzal

In: International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-6, Paris, France, IEEE, 10/2023.

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Introducing Language Guidance in Prompt-based Continual Learning

Muhammad Gulzain Ali Khan; Muhammad Ferjad Naeem; Luc Van Gool; Federico Tombari; Didier Stricker; Muhammad Zeshan Afzal

In: International Conference on Computer Vision 2023. International Conference on Computer Vision (ICCV-2023), October 2-6, Paris, France, IEEE, 10/2023.

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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,…