29 citations · 32 across the 4 of their papers we have counts for
7 papers
Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
Zohaib Amjad Khan, Azeddine Beghdadi, Mounir Kaaniche +1
Laparoscopic images and videos are often affected by different types of distortion like noise, smoke, blur and nonuniform illumination. Automatic detection of these distortions, fo…
Kalman Filter Based Multiple Person Head Tracking
Mohib Ullah, Maqsood Mahmud, Habib Ullah +3
For multi-target tracking, target representation plays a crucial rule in performance. State-of-the-art approaches rely on the deep learning-based visual representation that gives a…
Towards a Video Quality Assessment based Framework for Enhancement of Laparoscopic Videos
Zohaib Amjad Khan, Azeddine Beghdadi, Faouzi Alaya Cheikh +6
Laparoscopic videos can be affected by different distortions which may impact the performance of surgery and introduce surgical errors. In this work, we propose a framework for aut…
Adaptive Context Encoding Module for Semantic Segmentation
Congcong Wang, Faouzi Alaya Cheikh, Azeddine Beghdadi +1
The object sizes in images are diverse, therefore, capturing multiple scale context information is essential for semantic segmentation. Existing context aggregation methods such as…
Generative Smoke Removal
Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh
In minimally invasive surgery, the use of tissue dissection tools causes smoke, which inevitably degrades the image quality. This could reduce the visibility of the operation field…
Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery?
Congcong Wang, Vivek Sharma, Yu Fan +4
Laparoscopic surgery has a limited field of view. Laser ablation in a laproscopic surgery causes smoke, which inevitably influences the surgeon's visibility. Therefore, it is of vi…