3 papers
cs.CV2026
ExPLoRe: Expert Patch-Level Loss Routing for Multi-Objective Masked Image Modeling
Konstantinos Georgiou, Maofeng Tang, Hairong Qi
Multi-objective masked image modeling (MIM) combines complementary learning signals (token distillation, CLS alignment, and pixel reconstruction) but existing methods weight these…
cs.CV2026
Looking into a Pixel by Nonlinear Unmixing -- A Generative Approach
Maofeng Tang, Hairong Qi
Due to the large footprint of pixels in remote sensing imagery, hyperspectral unmixing (HU) has become an important and necessary procedure in hyperspectral image analysis. Traditi…
cs.CV2026
MEDiC: Multi-objective Exploration of Distillation from CLIP
Konstantinos Georgiou, Maofeng Tang, Hairong Qi
Masked image modeling (MIM) methods typically operate in either raw pixel space (reconstructing masked patches) or latent feature space (aligning with a pre-trained teacher). We pr…