21 citations · 29 across the 9 of their papers we have counts for
9 papers
A Hybrid Graph Network for Complex Activity Detection in Video
Salman Khan, Izzeddin Teeti, Andrew Bradley +2
Interpretation and understanding of video presents a challenging computer vision task in numerous fields - e.g. autonomous driving and sports analytics. Existing approaches to inte…
Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep CNNs, RNNs and Attention-Based Mechanisms
Labib Ahmed Siddique, Rabita Junhai, Tanzim Reza +2
Real-time video surveillance, through CCTV camera systems has become essential for ensuring public safety which is a priority today. Although CCTV cameras help a lot in increasing…
ROAD-R: The Autonomous Driving Dataset with Logical Requirements
Eleonora Giunchiglia, Mihaela Cătălina Stoian, Salman Khan +2
Neural networks have proven to be very powerful at computer vision tasks. However, they often exhibit unexpected behaviours, violating known requirements expressing background know…
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning
Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik +8
The operating room (OR) is a dynamic and complex environment consisting of a multidisciplinary team working together in a high take environment to provide safe and efficient patien…
Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room
Tochukwu Onyeogulu, Salman Khan, Izzeddin Teeti +6
Nowadays, there are more surgical procedures that are being performed using minimally invasive surgery (MIS). This is due to its many benefits, such as minimal post-operative probl…
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging
Jyoti Kini, Fahad Shahbaz Khan, Salman Khan +1
We propose a novel self-supervised Video Object Segmentation (VOS) approach that strives to achieve better object-background discriminability for accurate object segmentation. Dist…
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines
Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain +4
The aim of this paper is to formalize a new continual semi-supervised learning (CSSL) paradigm, proposed to the attention of the machine learning community via the IJCAI 2021 Inter…
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection
Salman Khan, Fabio Cuzzolin
Long-term complex activity recognition and localisation can be crucial for decision making in autonomous systems such as smart cars and surgical robots. Here we address the problem…
Gland Segmentation in Histopathology Images Using Random Forest Guided Boundary Construction
Rohith AP, Salman S. Khan, Kumar Anubhav +1
Grading of cancer is important to know the extent of its spread. Prior to grading, segmentation of glandular structures is important. Manual segmentation is a time consuming proces…