126 citations · 603 across the 32 of their papers we have counts for
37 papers
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction
Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh +3
The emerging field of action prediction plays a vital role in various computer vision applications such as autonomous driving, activity analysis and human-computer interaction. Des…
Random-Set Neural Networks (RS-NN)
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang +2
Machine learning is increasingly deployed in safety-critical domains where erroneous predictions may lead to potentially catastrophic consequences, highlighting the need for learni…
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…
Epistemic Deep Learning
Shireen Kudukkil Manchingal, Fabio Cuzzolin
The belief function approach to uncertainty quantification as proposed in the Demspter-Shafer theory of evidence is established upon the general mathematical models for set-valued…