TesserAct: Learning 4D Embodied World Models
This paper presents an effective approach for learning novel 4D embodied world models, which predict the dynamic evolution of 3D scenes over time in response to an embodied agent's actions, providing both spatial and temporal consistency. We propose to learn a 4D world model by training on RGB-DN (RGB, Depth, and Normal) videos. This not only surpasses
Zhen, Haoyu +6 more
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"I’ve Got a Feeling": Performing Sentiment Analysis on Critical Moments in Beatles History
Journal of eScience LibrarianshipOur project involved the use of optical character recognition (OCR) and sentiment analysis tools to assess popular feelings regarding the Beatles and to determine how aggregated sentiment measurements changed over time in response to pivotal events ...
Kent Drummond +2 more
doaj +2 more sources
The memory tesseract: Mathematical equivalence between composite and separate storage memory models
, 2019 Mary Alexandria Kelly +2 more
openalex +1 more source
Conforming Finite Element Function Spaces in Four Dimensions, Part 1: Foundational Principles and the Tesseract [PDF]
, 2023 Nilima Nigam, David Williams
openalex +1 more source
Implementasi Algoritma LSTM pada Aplikasi Optical Character Recognition Berbasis Website Menggunakan Tesseract OCR [PDF]
, 2023 Alpha Fausta Ikrar Setyadi +1 more
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A Validation Study of a Deep Learning-Based Doping Drug Text Recognition System to Ensure Safe Drug Use among Athletes. [PDF]
Healthcare (Basel), 2023 Lee SY, Park JH, Yoon J, Lee JY.
europepmc +1 more source
Rancang Bangun Alat Baca Bagi Tunanetra Menggunakan Tesseract OCR dan Metode Otsu Thresholding [PDF]
, 2018 Purnama Ridho
openalex
The memory tesseract: Mathematical equivalence between composite and separate storage memory models
, 2016 Mary Alexandria Kelly +2 more
openalex +2 more sources