Carlos Torres

Carlos Torres
BlackSky · ML / AI / GeoInt

PhD

About

14
Publications
1,534
Reads
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118
Citations

Publications

Publications (14)
Preprint
Full-text available
Video activity analysis systems are often trained on large datasets. Activities and events in the real world do not occur in isolation, instead, they occur as interactions between related objects. This work introduces a novel method that jointly exploits relational information between pairs of objects and temporal dynamics of each object. The propo...
Conference Paper
Full-text available
Effective analysis of hyperspectral imagery is essential for gathering fast and actionable information of large areas affected by atmospheric and green house gases. Existing methods, which process hyperspectral data to detect amorphous gases such as CH 4 require manual inspection from domain experts and annotation of massive datasets. These methods...
Conference Paper
Full-text available
While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context. The surrounding context provides essential information for understanding actions. To this end, we propose to replace region of interest(RoI) pooling with an attention module, which ranks each spatio-temporal region's relevanc...
Article
The health of patients in the Intensive Care Unit (ICU) can change frequently and inexplicably. Crucial events and activities responsible for these changes often go unnoticed. This paper introduces HEAL: Healthcare Event and Action Logging, which automatically and unobtrusively monitors and reports on events and activities that occur in a medical I...
Article
Full-text available
Clinical observations indicate that during critical care at the hospitals, a patient's sleep positioning and motion have a significant effect on recovery rate. Unfortunately, there is no formal medical protocol to record, quantify, and analyze motion of patients. There are very few clinical studies that use manual analysis of sleep poses and motion...
Conference Paper
Full-text available
This work introduces a multimodal multiview camera network for role identification and re-identification in an Intensive Care Unit (ICU) room, where identifying individuals is not permitted. The analysis challenges include imaging conditions such as medical isolation (where all visitors wear scrubs), poor and non-uniform illumination, or variable c...
Article
Full-text available
Clinical observations indicate that during critical care at the hospitals, patients sleep positioning and motion affect recovery. Unfortunately, there is no formal medical protocol to record, quantify, and analyze patient motion. There is a small number of clinical studies, which use manual analysis of sleep poses and motion recordings to support m...
Conference Paper
Full-text available
Healthcare professionals speculate about the effects of poses and pose manipulation in healthcare. Anecdotal observations indicate that patient poses and motion affect recovery. Motion analysis using human observers puts strain on already taxed healthcare workforce requiring staff to record motion. Automated algorithms and systems are unable to mon...
Article
Full-text available
Manual analysis of body poses of bed-ridden patients requires staff to continuously track and record patient poses. Two limitations in the dissemination of pose-related therapies are scarce human resources and unreliable automated systems. This work addresses these issues by introducing a new method and a new system for robust automated classificat...
Conference Paper
Clinical evidence suggests that sleep pose analysis can shed light onto patient recovery rates and responses to therapies. In this work, we introduce a formulation that combines features from multimodal data to classify human sleep poses in an Intensive Care Unit (ICU) environment. As opposed to the current methods that combine data from multiple s...
Article
Full-text available
The encapsulation of biomolecules in solid materials that retain the native properties of the molecule is a desired feature for the development of biosensors and biocatalysts. In the current study, protein entrapment in silica-based materials is explored using the sol-gel technique. This work surveys the effects of silica confinement on the structu...
Article
The secondary structures of two proteins were examined by circular dichroism spectroscopy after adsorption onto a series of organically modified silica glasses. The glasses were prepared by the sol-gel technique and were varied in hydrophobicity by incorporation of 5% methyl, propyl, trifluoropropyl, or n-hexyl silane. Both cytochrome c and apomyog...

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