Sarcasm indicates the literal meaning is contrary to the real attitude. Considering the
popularity and complementarity of image-text data, we investigate the task of multi-modal …

Limited training data is a long-standing problem for video emotion analysis (VEA). Existing
works leverage the power of large-scale image datasets for transferring while failing to …

Transformer-based approaches have achieved promising performance in image restoration
tasks given their ability to model long-range dependencies which is crucial for recovering …

Video prediction is a challenging task due to its nature of uncertainty especially for
forecasting a long period. To model the temporal dynamics advanced methods benefit from …

The goal of correspondence pruning is to recognize correct correspondences (inliers) from
initial ones, with applications to various feature matching based tasks. Seeking neighbors in …

Camouflaged vision perception is an important vision task with numerous practical
applications. Due to the expensive collection and labeling costs this community struggles …

Multimodal image matching is essential in image stitching, image fusion, change detection,
and land cover map**. However, the severe nonlinear radiometric distortion (NRD) and …

We present a novel deep hypergraph modeling architecture (called DHM-Net) for feature
matching in this paper. Our network focuses on learning reliable correspondences between …

Correspondence pruning aims to find correct matches (inliers) from an initial set of putative
correspondences, which is a fundamental task for many applications. The process of finding …

Capturing global and subtle discriminative information using attention mechanisms is
essential to address the challenge of inter-class high similarity for vehicle re-identification …