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PhD Thesis Defense
Unsupervised Learning of the 4D Audio-Visual World from Sparse Unconstrained Real-World Samples
Abstract: We, humans, can easily observe, explore, and analyze the world we live in. We, however, struggle to share our observation, exploration, and analysis with others. This thesis introduce Computational Studio, computational machinery that can understand, explore, and create the four-dimensional audio-visual world. This allows: (1) humans to communicate with other humans without any loss [...]