MOJITO is proposed, a unified sensor-to-action framework for end-to-end autonomous driving built on modal joint learning that performs block-wise Modal Joint Attention that simultaneously updates action, image, and LiDAR features, allowing the planner to directly access multi-modal features during action generation.
Zhijing Cheng, Xuan Zhang, Donglin Di et al.· arXiv.org· 0 citations
STAG is proposed, a dual-branch framework for gene-aware expression prediction and spatial context modeling that leverages gene semantic information as biological guidance by encoding gene names with a foundation model, enabling coordinated gene-aware interactions beyond independent gene prediction.
Mingcheng Qu, Yuchuan Zhao, Guang Yang et al.· Medical Image Anal.· 0 citations
This work introduces a flow-matching framework with a linear interpolation path between paired view representations, that replaces diffusion with probability flows between observed and missing views, and provides a formal analysis showing that deterministic ODE flows are inherently better aligned with clustering object...
Yiteng Yuan, Junyan Wang, Zheyuan Liu et al.· arXiv.org· 0 citations
ManGo (Manga Active Narrative Grounding Optimization), an unsupervised framework for active manga visual question answering, introduces Active Narrative Sketching (ANS), which iteratively selects panels, extracts concise grounded clues, and decides when to stop, forming a compact question-directed evidence sketch befor...
Hao Qiu, Jun-Yan Wang, Zheyuan Liu et al.· 0 citations
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