no code implementations • 7 Jul 2024 • Idris Hamoud, Alexandros Karargyris, Aidean Sharghi, Omid Mohareri, Nicolas Padoy
Semantic segmentation and activity classification are key components to creating intelligent surgical systems able to understand and assist clinical workflow.
no code implementations • 7 Jul 2022 • Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri
We propose a new domain adaptation method to improve the performance of the surgical activity recognition model in a new operating room for which we only have unlabeled videos.
no code implementations • 5 May 2022 • Zhuohong He, Ali Mottaghi, Aidean Sharghi, Muhammad Abdullah Jamal, Omid Mohareri
In this paper, we investigate many state-of-the-art backbones and temporal models to find architectures that yield the strongest performance for surgical activity recognition.
no code implementations • 17 Mar 2022 • Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Nassir Navab, Omid Mohareri
Algorithmic surgical workflow recognition is an ongoing research field and can be divided into laparoscopic (Internal) and operating room (External) analysis.
no code implementations • 29 Jun 2020 • Aidean Sharghi, Helene Haugerud, Daniel Oh, Omid Mohareri
Automatic recognition of surgical activities in the operating room (OR) is a key technology for creating next generation intelligent surgical devices and workflow monitoring/support systems.
no code implementations • 8 May 2020 • Aidean Sharghi, Niels da Vitoria Lobo, Mubarak Shah
We Input a set of video shots and the network generates a text description for each shot.
no code implementations • ECCV 2018 • Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong
In terms of modeling, we design a new probabilistic distribution such that, when it is integrated into SeqDPP, the resulting model accepts user input about the expected length of the summary.
no code implementations • 11 Jan 2018 • Mingze Xu, Aidean Sharghi, Xin Chen, David J. Crandall
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 homes.
no code implementations • CVPR 2017 • Aidean Sharghi, Jacob S. Laurel, Boqing Gong
However, one of the main obstacles to the research on video summarization is the user subjectivity - users have various preferences over the summaries.
no code implementations • 18 Jul 2016 • Aidean Sharghi, Boqing Gong, Mubarak Shah
The decision to include a shot in the summary depends on the shot's relevance to the user query and importance in the context of the video, jointly.
no code implementations • 25 Feb 2016 • Thomas Castelli, Aidean Sharghi, Don Harper, Alain Tremeau, Mubarak Shah
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 regulations and public safety.