Search Results for author: Aidean Sharghi

Found 11 papers, 0 papers with code

Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness

no code implementations7 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.

Activity Recognition Scene Understanding +3

Adaptation of Surgical Activity Recognition Models Across Operating Rooms

no code implementations7 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.

Activity Recognition Domain Adaptation +1

An Empirical Study on Activity Recognition in Long Surgical Videos

no code implementations5 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.

Action Detection Activity Detection +2

Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study

no code implementations17 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.

Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery

no code implementations29 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.

Action Recognition

Improving Sequential Determinantal Point Processes for Supervised Video Summarization

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.

Diversity Point Processes +1

Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition

no code implementations11 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.

Action Recognition Temporal Action Localization

Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach

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.

Video Summarization

Query-Focused Extractive Video Summarization

no code implementations18 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.

Video Summarization

Autonomous navigation for low-altitude UAVs in urban areas

no code implementations25 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.

Autonomous Navigation

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