18 citations · 20 across the 4 of their papers we have counts for
6 papers · 1 filter
From Satellite to Street: A Hybrid Framework Integrating Stable Diffusion and PanoGAN for Consistent Cross-View Synthesis
Khawlah Bajbaa, Abbas Anwar, Muhammad Saqib +3
Street view imagery has become an essential source for geospatial data collection and urban analytics, enabling the extraction of valuable insights that support informed decision-m…
RDD4D: 4D Attention-Guided Road Damage Detection And Classification
Asma Alkalbani, Muhammad Saqib, Ahmed Salim Alrawahi +3
Road damage detection and assessment are crucial components of infrastructure maintenance. However, current methods often struggle with detecting multiple types of road damage in a…
Cefdet: Cognitive Effectiveness Network Based on Fuzzy Inference for Action Detection
Zhe Luo, Weina Fu, Shuai Liu +4
Action detection and understanding provide the foundation for the generation and interaction of multimedia content. However, existing methods mainly focus on constructing complex r…
HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing
Md Tanvir Islam, Nasir Rahim, Saeed Anwar +3
Reducing the atmospheric haze and enhancing image clarity is crucial for computer vision applications. The lack of real-life hazy ground truth images necessitates synthetic dataset…
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu +52
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…
Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models
Sultan Daud Khan, Muhammad Saqib, Michael Blumenstein
As the population of world is increasing, and even more concentrated in urban areas, ensuring public safety is becoming a taunting job for security personnel and crowd managers. Ma…