7 accepted papers
The perspective of captions in fine-grained image captioning crucially impacts people’s perception and understanding of the image. However, existing methods often overlook this aspect, resulting in captions that struggle to accurately convey the image’s hierarchical and spatial information. In this…
The rapid proliferation of the internet has expedited the dissemination of multimedia rumor content on social media. Nevertheless, existing multimodal rumor detection approaches predominantly concentrate on the intrinsic features of the multimodal rumor content, lacking factual evidence support, whi…
With the rapid development of social media and short video applications in recent years, browsing short videos has become the norm. Due to its large user base and unique appeal, spreading rumors via short videos has become a severe social problem. Many methods simply fuse multimodal features for rum…
Previous rumors detection study mostly ignores causal features in rumor texts and the interpretability of rumor classification results. Based on the phenomenon that rumors can cause changes or even loss of the original causal relationship in the truth, we can leverage causal features to help classif…
Visible thermal person re-identification (VT-ReID) suffers from inter-modality discrepancy and intra-identity variations. Distribution alignment is a popular solution for VT-ReID, however, it is usually restricted to the influence of the intra-identity variations. In this paper, we propose the Cross…
Stock portfolio selection is an important financial planning task that dynamically re-allocates the investments to stock assets to achieve the goals such as maximal profits and minimal risks. In this paper, we propose a hypergraph-based reinforcement learning method for stock portfolio selection, in…
When considering person re-identification (re-ID) as a retrieval process, re-ranking is a critical step to improve its accuracy. Yet in the re-ID community, limited effort has been devoted to re-ranking, especially those fully automatic, unsupervised solutions. In this paper, we propose a k-reciproc…