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cs.LG2026
Regularizing modality contribution drift in multimodal continual learning
Zhen Zhang, Jielei Chu, Bin Liu +5
Multimodal continual learning (MMCL) aims to acquire new knowledge from multimodal data while retaining previously learned knowledge. Existing MMCL methods primarily mitigate forge…
cs.CV2026
Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment
Zhen Zhang, Jielei Chu, Tian Zhang +5
Existing deep network-based full-reference image quality assessment (FR-IQA) models typically work by performing pairwise comparisons of deep features from the reference and distor…
cs.CV2026
Degradation-Aware Adaptive Context Gating for Unified Image Restoration
Lei He, Jielei Chu, Fengmao Lv +4
Unified image restoration using a single model often faces task interference due to diverse degradations. To address this, we propose DACG-IR (Degradation-Aware Adaptive Context Ga…