Khurram Azeem Hashmi

About Khurram Azeem Hashmi

Khurram Azeem Hashmi, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Technische Universität Kaiserslautern, specializes in the field of Computer Vision, Object Detection, Video Understanding, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sparse semi-detr: Sparse learnable queries for semi-supervised object detection

Towards end-to-end semi-supervised table detection with deformable transformer

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

Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images

2d object detection with transformers: a review

Boxmask: Revisiting bounding box supervision for video object detection

Investigating attention mechanism for page object detection in document images

Attention-guided disentangled feature aggregation for video object detection

Khurram Azeem Hashmi Information

University

Position

___

Citations(all)

292

Citations(since 2020)

288

Cited By

2

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Technische Universität Kaiserslautern

Google Scholar

View Google Scholar Profile

Khurram Azeem Hashmi Skills & Research Interests

Computer Vision

Object Detection

Video Understanding

Deep Learning

Top articles of Khurram Azeem Hashmi

Title

Journal

Author(s)

Publication Date

Sparse semi-detr: Sparse learnable queries for semi-supervised object detection

arXiv preprint arXiv:2404.01819

Tahira Shehzadi

Khurram Azeem Hashmi

Didier Stricker

Muhammad Zeshan Afzal

2024/4/2

Towards end-to-end semi-supervised table detection with deformable transformer

Tahira Shehzadi

Khurram Azeem Hashmi

Didier Stricker

Marcus Liwicki

Muhammad Zeshan Afzal

2023/8/19

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

arXiv e-prints

Khurram Azeem Hashmi

Goutham Kallempudi

Didier Stricker

Muhammamd Zeshan Afzal

2023/8

Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images

arXiv preprint arXiv:2306.13526

Tahira Shehzadi

Khurram Azeem Hashmi

Didier Stricker

Marcus Liwicki

Muhammad Zeshan Afzal

2023/6/23

2d object detection with transformers: a review

Tahira Shehzadi

Khurram Azeem Hashmi

Didier Stricker

Muhammad Zeshan Afzal

2023/6/7

Boxmask: Revisiting bounding box supervision for video object detection

Khurram Azeem Hashmi

Alain Pagani

Didier Stricker

Muhammad Zeshan Afzal

2023

Investigating attention mechanism for page object detection in document images

Applied Sciences

Shivam Naik

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

...

2022/7/26

Attention-guided disentangled feature aggregation for video object detection

Sensors

Shishir Muralidhara

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

...

2022/11/7

Toward semi-supervised graphical object detection in document images

Future Internet

Goutham Kallempudi

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

...

2022/6/8

Rethinking learnable proposals for graphical object detection in scanned document images

Applied Sciences

Sankalp Sinha

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

...

2022/10/20

Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments

Sensors

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

Muhammad Zeshan Afzal

2022/5/12

Spatio-temporal learnable proposals for end-to-end video object detection

arXiv preprint arXiv:2210.02368

Khurram Azeem Hashmi

Didier Stricker

Muhammamd Zeshan Afzal

2022/10/5

DeHyFoNet: Deformable Hybrid Network for Formula Detection in Scanned Document Images

Muhammad Zeshan Afzal

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

2022/1/6

Mask-aware semi-supervised object detection in floor plans

Applied Sciences

Tahira Shehzadi

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

...

2022/9/20

Continual learning for table detection in document images

Applied Sciences

Mohammad Minouei

Khurram Azeem Hashmi

Mohammad Reza Soheili

Muhammad Zeshan Afzal

Didier Stricker

2022/9/7

Survey and Performance Analysis of Object Detection in Challenging Environments

Muhammad Ahmed

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

...

2021/6/23

Castabdetectors: Cascade network for table detection in document images with recursive feature pyramid and switchable atrous convolution

Journal of Imaging

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

Muhammad Zeshan Afzal

2021/10/16

Current status and performance analysis of table recognition in document images with deep neural networks

Khurram Azeem Hashmi

Marcus Liwicki

Didier Stricker

Muhammad Adnan Afzal

Muhammad Ahtsham Afzal

...

2021/6/9

HybridTabNet: Towards better table detection in scanned document images

Applied Sciences

Danish Nazir

Khurram Azeem Hashmi

Alain Pagani

Marcus Liwicki

Didier Stricker

...

2021/9/11

A survey of graphical page object detection with deep neural networks

Jwalin Bhatt

Khurram Azeem Hashmi

Muhammad Zeshan Afzal

Didier Stricker

2021/6/9

See List of Professors in Khurram Azeem Hashmi University(Technische Universität Kaiserslautern)

Co-Authors

H-index: 51
Didier Stricker

Didier Stricker

Technische Universität Kaiserslautern

H-index: 46
Marcus Liwicki

Marcus Liwicki

Luleå tekniska Universitet

H-index: 6
Mohammad Reza Soheili

Mohammad Reza Soheili

Kharazmi University

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