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cs.CV2026
Multimodal Fusion via Self-Consistent Task-Gradient Fields
Jiayu Xiong, Jing Wang, Jun Xue +4
Multimodal learning aims to preserve as much task-related information as possible from different inputs. However, current fusion designs often distort the feedback loop to feature…
cs.CV2026
Inconsistency-aware Multimodal Schrödinger Bridge for Deepfake Localization
Jiayu Xiong, Jing Wang, Qi Zhang +2
Audio-visual deepfake localization demands interval-level outputs that serve as temporal evidence. Despite recent progress, symmetric fusion under single-sided or asynchronous forg…