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cs.DC2026
FlowTT: Exploiting Computation Flow Reuse in Irregular Tensor-Train Embedding
Jongmin Seok, Chae Eun Rhee
Tensor-Train (TT) decomposition effectively compresses large embedding tables in recommendation models, but TT-based embedding lookup remains inefficient because partially shared c…
cs.CV2026
CC-4DGS: Computational Deformation and Point-Cloud Compression for Storage-Efficient Dynamic Gaussian Splatting
Kyungdae Park, Chae Eun Rhee
Dynamic four-dimensional (4D) Gaussian Splatting has emerged as a powerful explicit representation for high-quality view synthesis, yet existing methods still require tens to hundr…