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Xiaojie Yu

2 accepted papers

2026

PACEAttention: Principled and Adaptive Feature Compression-Expansion Grounded in the Geometry of $\text{MCR}^2$

ICML 2026poster

The maximal coding rate reduction ($\text{MCR}^2$) objective is proposed for learning low-dimensional subspace representations and for principled deep model design, where layer structures are derived by unrolling its optimization steps. However, existing methods motivated by this objective do not fu…

Cited by 0SourceScholar
2020

Denoising of Event-Based Sensors with Spatial-Temporal Correlation

ICASSP 2020accepted

As a novel asynchronous-driven cameras, event-based sensors are with high sensitivity, fast speed, low power consumption and low data volume, but with abundant noise. Since the output of event-based sensors is in the form of address-event-representation (AER), the traditional frame-based denoising m…

Cited by 0SourceScholar