The paper discusses CREMA, a modality-fusion framework aimed at enhancing the efficiency of multimodal compositional video reasoning. This framework is designed to integrate any new modality into video reasoning, leveraging…
Continue readingThis paper presents two lightweight models for crowd counting, which is the estimation of the number of people in a crowd from an image or a video. The models, ASFNet-S…
Continue readingThe paper discusses the use of fusion of different comparators to enhance periocular recognition when images from different smartphones are compared. This is due to the proliferation of cameras and…
Continue readingThe article discusses the importance of fault diagnosis in rotating machinery for the safety and stability of modern industrial systems. It highlights the challenge of distribution discrepancy between training data…
Continue readingThis research presents a Multimodal Interlaced Transformer (MIT) for weakly supervised point cloud segmentation that jointly considers 2D and 3D data. Current methods require extra 2D annotations to achieve 2D-3D…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
