Search Results for author:
Found 2 papers, 2 papers with code
Multimodal Prompting with Missing Modalities for Visual Recognition
In this paper, we tackle two challenges in multimodal learning for visual recognition: 1) when missing-modality occurs either during training or testing in real-world situations; and 2) when the computation resources are not available to finetune on heavy transformer models.
Dual-Stream Fusion Network for Spatiotemporal Video Super-Resolution
Our method is based on an important observation that: even the direct cascade of prior research in spatial and temporal super-resolution can achieve the spatiotemporal upsampling, changing orders for combining them would lead to results with a complementary property.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
