Search Results for author:
Found 7 papers, 1 papers with code
Human Latency Conversational Turns for Spoken Avatar Systems
We also provide some examples of utterances and the impacts of this information loss on the quality of LLM response in the context of an avatar that is currently under development.
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data
To achieve real-time performance, the paper proposes a method that effectively samples consecutive frames to reduce network load while ensuring reconstruction quality.
Intentional Biases in LLM Responses
In this study we intentionally introduce biases into large language model responses in an attempt to create specific personas for interactive media purposes.
Efficient Cloud Pipelines for Neural Radiance Fields
Since their introduction in 2020, Neural Radiance Fields (NeRFs) have taken the computer vision community by storm.
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imagery
This paper presents MineSegSAT, a model that presents a novel approach to predicting environmentally impacted areas of mineral extraction sites using the SegFormer deep learning segmentation architecture trained on Sentinel-2 data.
GPS Alignment from Multiple Sources to Extract Aircraft Bearing in Aerial Surveys
Methodical aerial population surveys monitoring critically endangered species in Canadian North Atlantic waters are instrumental in influencing government policies both in economic and conservational efforts.
Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey
With this paper, we lay the foundation for data-driven mission planning; a glare modelling system which allows surveyors to preemptively minimize glare and reduces survey reliance on the detection function as an estimator of whale populations during periods of poor subsurface visibility.
