4 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
Buffer replay enhances the robustness of multimodal learning under missing-modality
Hongye Zhu, Xuan Liu, Yanwen Ba +2
Missing modalities consistently lead to significant performance degradation in multimodal models. Existing approaches either synthesize missing modalities at high computational cos…
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
Wenxiao Wu, Jing-Hao Xue, Chengming Xu +5
Visual In-Context Learning (VICL) has emerged as a prominent approach for adapting visual foundation models to novel tasks, by effectively exploiting contextual information embedde…
UMBRAE: Unified Multimodal Brain Decoding
Weihao Xia, Raoul de Charette, Cengiz Öztireli +1
We address prevailing challenges of the brain-powered research, departing from the observation that the literature hardly recover accurate spatial information and require subject-s…
DREAM: Visual Decoding from Reversing Human Visual System
Weihao Xia, Raoul de Charette, Cengiz Öztireli +1
In this work we present DREAM, an fMRI-to-image method for reconstructing viewed images from brain activities, grounded on fundamental knowledge of the human visual system. We craf…