Enabling and optimizing multi-modal sense-making for human-AI interaction tasks

Enabling and optimizing multi-modal sense-making for human-AI interaction tasks

The rapid pace of adoption of mixed-reality in tandem with advances in NLP and computer vision have opened up unprecedented opportunities for more naturalistic interaction interfaces which underpin Human-AI collaborative applications such as spatial computing and interactive conversational agents. O...

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Bibliographic Details
Main Author: WEERAKOON MUDIYANSELAGE, Dulanga Kaveesha Weerakoon
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Human-AI Collaboration
Referring Expression Comprehension
Visual Grounding
Spatio-Temporal Video Grounding
Dynamic Model Optimizations
Multi-Modal Processing
Artificial Intelligence and Robotics
Online Access:https://ink.library.smu.edu.sg/etd_coll/602
https://ink.library.smu.edu.sg/context/etd_coll/article/1600/viewcontent/GPIS_AY2019_PhD_DulangaWeerakoon.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/etd_coll/602
https://ink.library.smu.edu.sg/context/etd_coll/article/1600/viewcontent/GPIS_AY2019_PhD_DulangaWeerakoon.pdf

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