27 citations · 56 across the 10 of their papers we have counts for
11 papers
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness
Idris Hamoud, Alexandros Karargyris, Aidean Sharghi +2
Semantic segmentation and activity classification are key components to creating intelligent surgical systems able to understand and assist clinical workflow. In the Operating Room…
Adaptation of Surgical Activity Recognition Models Across Operating Rooms
Ali Mottaghi, Aidean Sharghi, Serena Yeung +1
Automatic surgical activity recognition enables more intelligent surgical devices and a more efficient workflow. Integration of such technology in new operating rooms has the poten…
An Empirical Study on Activity Recognition in Long Surgical Videos
Zhuohong He, Ali Mottaghi, Aidean Sharghi +2
Activity recognition in surgical videos is a key research area for developing next-generation devices and workflow monitoring systems. Since surgeries are long processes with highl…
Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study
Tobias Czempiel, Aidean Sharghi, Magdalini Paschali +2
Algorithmic surgical workflow recognition is an ongoing research field and can be divided into laparoscopic (Internal) and operating room (External) analysis. So far many different…
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery
Aidean Sharghi, Helene Haugerud, Daniel Oh +1
Automatic recognition of surgical activities in the operating room (OR) is a key technology for creating next generation intelligent surgical devices and workflow monitoring/suppor…
Text Synopsis Generation for Egocentric Videos
Aidean Sharghi, Niels da Vitoria Lobo, Mubarak Shah
Mass utilization of body-worn cameras has led to a huge corpus of available egocentric video. Existing video summarization algorithms can accelerate browsing such videos by selecti…
Improving Sequential Determinantal Point Processes for Supervised Video Summarization
Aidean Sharghi, Ali Borji, Chengtao Li +2
It is now much easier than ever before to produce videos. While the ubiquitous video data is a great source for information discovery and extraction, the computational challenges a…
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition
Mingze Xu, Aidean Sharghi, Xin Chen +1
A major emerging challenge is how to protect people's privacy as cameras and computer vision are increasingly integrated into our daily lives, including in smart devices inside hom…
Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach
Aidean Sharghi, Jacob S. Laurel, Boqing Gong
Recent years have witnessed a resurgence of interest in video summarization. However, one of the main obstacles to the research on video summarization is the user subjectivity - us…
Query-Focused Extractive Video Summarization
Aidean Sharghi, Boqing Gong, Mubarak Shah
Video data is explosively growing. As a result of the "big video data", intelligent algorithms for automatic video summarization have re-emerged as a pressing need. We develop a pr…
Autonomous navigation for low-altitude UAVs in urban areas
Thomas Castelli, Aidean Sharghi, Don Harper +2
In recent years, consumer Unmanned Aerial Vehicles have become very popular, everyone can buy and fly a drone without previous experience, which raises concern in regards to regula…