most citedVideo Anomaly Detection in 10 Years: A Survey and Outlook

5 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Dark Transformer: A Video Transformer for Action Recognition in the Dark

Anwaar Ulhaq

Recognizing human actions in adverse lighting conditions presents significant challenges in computer vision, with wide-ranging applications in visual surveillance and nighttime dri…

cs.CV2024★ 5 cited

Video Anomaly Detection in 10 Years: A Survey and Outlook

Moshira Abdalla, Sajid Javed, Muaz Al Radi +2

Video anomaly detection (VAD) holds immense importance across diverse domains such as surveillance, healthcare, and environmental monitoring. While numerous surveys focus on conven…

cs.ET2024

Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins

Ammar Sohail, Bojie Shen, Muhammad Aamir Cheema +4

As urban areas grapple with unprecedented challenges stemming from population growth and climate change, the emergence of urban digital twins offers a promising solution. This pape…

cs.AI2024★ 1 cited

Neuromorphic Correlates of Artificial Consciousness

Anwaar Ulhaq

The concept of neural correlates of consciousness (NCC), which suggests that specific neural activities are linked to conscious experiences, has gained widespread acceptance. This…

cs.CV2024

Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling

Yong He, Hongshan Yu, Chaoxu Mu +5

Point cloud processing methods leverage local and global point features %at the feature level to cater to downstream tasks, yet they often overlook the task-level context inherent…

cs.CV2024

Accurate and Efficient Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery

Asim Khan, Umair Nawaz, Anwaar Ulhaq +2

Deforestation, a major contributor to climate change, poses detrimental consequences such as agricultural sector disruption, global warming, flash floods, and landslides. Conventio…