🏢 Shenzhen University

This paper introduces novel data augmentation modules that dynamically adjust the frequency characteristics of datasets, preventing neural networks from over-relying on simple frequency-based shortcut…

Reconstruct & Match (REMA) enhances deep learning’s out-of-distribution robustness by leveraging object’s topological homogeneity, outperforming state-of-the-art methods.

Motif-oriented influence maximization tackles viral marketing’s challenge of reaching groups by proving a greedy algorithm with guaranteed approximation ratio and near-linear time complexity.

HairDiffusion uses latent diffusion models and a multi-stage blending technique to achieve vivid, multi-colored hair editing in images, preserving other facial features.

EGonc, a novel energy-based open-set node classification method, leverages substitute unknowns and energy scores to achieve superior accuracy and robustness in classifying nodes from known classes whi…

CRAYM: Neural field optimization via camera RAY matching enhances 3D reconstruction by using camera rays, not pixels, improving both novel view synthesis and geometry.