most citedHuman Latency Conversational Turns for Spoken Avatar Systems

5 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC20245 cited

Human Latency Conversational Turns for Spoken Avatar Systems

Derek Jacoby, Tianyi Zhang, Aanchan Mohan +1

A problem with many current Large Language Model (LLM) driven spoken dialogues is the response time. Some efforts such as Groq address this issue by lightning fast processing of th…

cs.CY2024

Remote Possibilities: Where there is a WIL, is there a Way? AI Education for Remote Learners in a New Era of Work-Integrated-Learning

Derek Jacoby, Saiph Savage, Yvonne Coady

Increasing diversity in educational settings is challenging in part due to the lack of access to resources for non-traditional learners in remote communities. Post-pandemic platfor…

cs.CL2023

Intentional Biases in LLM Responses

Nicklaus Badyal, Derek Jacoby, Yvonne Coady

In this study we intentionally introduce biases into large language model responses in an attempt to create specific personas for interactive media purposes. We explore the differe…

cs.CV2023

3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data

Xi Sun, Derek Jacoby, Yvonne Coady

This paper presents a real-time segmentation and reconstruction system that utilizes RGB-D images to generate accurate and detailed individual 3D models of objects within a capture…

cs.CV2023

MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imagery

Ezra MacDonald, Derek Jacoby, Yvonne Coady

Assessing the environmental impact of the mineral extraction industry plays a critical role in understanding and mitigating the ecological consequences of extractive activities. Th…

cs.CV2023

Efficient Cloud Pipelines for Neural Radiance Fields

Derek Jacoby, Donglin Xu, Weder Ribas +6

Since their introduction in 2020, Neural Radiance Fields (NeRFs) have taken the computer vision community by storm. They provide a multi-view representation of a scene or object th…