93 citations · 101 across the 5 of their papers we have counts for
7 papers
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning
Ameesh Shah, Jonathan DeCastro, John Gideon +3
Advancements in simulation and formal methods-guided environment sampling have enabled the rigorous evaluation of machine learning models in a number of safety-critical scenarios,…
The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video
John Gideon, Simon Stent
The ability to reliably estimate physiological signals from video is a powerful tool in low-cost, pre-clinical health monitoring. In this work we propose a new approach to remote p…
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Zhijian Liu, Simon Stent, Jie Li +2
Computer vision tasks such as object detection and semantic/instance segmentation rely on the painstaking annotation of large training datasets. In this paper, we propose LocTex th…
When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations
John Gideon, Katie Matton, Steve Anderau +2
Bipolar disorder (BPD) is a chronic mental illness characterized by extreme mood and energy changes from mania to depression. These changes drive behaviors that often lead to devas…
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)
John Gideon, Melvin G McInnis, Emily Mower Provost
Automatic speech emotion recognition provides computers with critical context to enable user understanding. While methods trained and tested within the same dataset have been shown…
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild
Soheil Khorram, Mimansa Jaiswal, John Gideon +2
Bipolar Disorder is a chronic psychiatric illness characterized by pathological mood swings associated with severe disruptions in emotion regulation. Clinical monitoring of mood is…