Khurram Azeem Hashmi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Scanned Document Images

Document Images

Page Segmentation

Top Venues

Publications

Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
UnSupDLA: Towards Unsupervised Document Layout Analysis. CoRR (2024)
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection. CoRR (2024)
Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. ICCV (2023)
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer. ICDAR (2) (2023)
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer. CoRR (2023)
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images. CoRR (2023)
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
2D Object Detection with Transformers: A Review. CoRR (2023)
Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection. WACV (2023)
Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. CoRR (2023)
Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection. BMVC (2022)
Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments. Sensors 22 (10) (2022)
Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection. CoRR (2022)
Shishir Muralidhara, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Attention-Guided Disentangled Feature Aggregation for Video Object Detection. Sensors 22 (21) (2022)
Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection. CoRR (2022)
Goutham Kallempudi, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Toward Semi-Supervised Graphical Object Detection in Document Images. Future Internet 14 (6) (2022)
Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal
Guided Table Structure Recognition through Anchor Optimization. CoRR (2021)
Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal
Guided Table Structure Recognition Through Anchor Optimization. IEEE Access 9 (2021)
Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution. J. Imaging 7 (10) (2021)
Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks. CoRR (2021)
Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal
Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks. IEEE Access 9 (2021)
Muhammad Ahmed, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments. Sensors 21 (15) (2021)
Khurram Azeem Hashmi, Rakshith Bymana Ponnappa, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel
Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information. WML@ICDAR (2019)