18 citations · 26 across the 6 of their papers we have counts for
6 papers
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
Ali Mottaghi, Mohammad Abdullah Jamal, Serena Yeung +1
Semi-supervised domain adaptation (SSDA) presents a critical hurdle in computer vision, especially given the frequent scarcity of labeled data in real-world settings. This scarcity…
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…
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions
Ali Mottaghi, Prathusha K Sarma, Xavier Amatriain +2
We study the problem of medical symptoms recognition from patient text, for the purposes of gathering pertinent information from the patient (known as history-taking). A typical pa…
Adversarial Representation Active Learning
Ali Mottaghi, Serena Yeung
Active learning aims to develop label-efficient algorithms by querying the most informative samples to be labeled by an oracle. The design of efficient training methods that requir…
OBTAIN: Real-Time Beat Tracking in Audio Signals
Ali Mottaghi, Kayhan Behdin, Ashkan Esmaeili +2
In this paper, we design a system in order to perform the real-time beat tracking for an audio signal. We use Onset Strength Signal (OSS) to detect the onsets and estimate the temp…