most citedTT-Edge: A Hardware-Software Co-Design for Energy-Efficient Tensor-Train Decomposition on Edge AI

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.ARShow all

1 paper · 1 filter

cs.AR2026

CMAX-CAMEL: A Coarse-to-Fine Adaptive, Memory-Efficient, and Low-Power Edge Processor for Contrast Maximization

Kyeongpil Min, Jongin Choi, Kyeongwon Lee +1

Contrast maximization (CMAX) is a direct geometric framework for event-based motion estimation, but its iterative warp-and-accumulate pipeline incurs input-dependent computation an…