7 accepted papers
Medical image segmentation is still challenging, especially in semi-supervised scenarios where limited annotations are expected to support both accurate boundary delineation and coherent anatomical structures. We propose LR-GCF, a Local-Rotation-Driven Global Consistency Framework that couples stron
Vision-and-Language Navigation in Continuous Environments (VLN-CE) presents challenges due to environmental variations and domain shifts, making it difficult for agents to generalize beyond seen environments. Most existing methods rely on learning correlations between observations and actions from t
Current visual captioning technologies typically transform 3D/2D visual information into one-dimensional sequential data and employ language models to generate corresponding descriptions. This approach, however, compromises the spatiotemporal information in visual data, making it difficult for model…
CLIP-guided zero-shot image generative model adaption methods only require textual domain labels without any target domain images, but there are some dilemmas remain unsolved, such as identity degradation and pattern overfitting. To address these issues, an adaptive domain-invariant feature transfer…
Between 2021 and 2023, AI-Olympics---a series of online AI competitions, was hosted by the online evaluation platform Jidi in collaboration with the IJCAI committee. In these competitions, an agent is required to accomplish diverse sports tasks in a two-dimensional continuous world, while competing…
It is challenging to generate 3D human motions automatically from text. In an ideal scenario, the generated motions should explore the text-grounded motion space while accurately depicting the content in the prescribed text descriptions. Text2length and text2motion training have been used to address…
Cross-modal hashing has received increasing research attentions due to its less storage and efficient retrieval. However, most existing cross-modal hashing methods focus only on exploring multi-modal information, while underestimate the significance of local and Euclidean structure information on th…