Initiating a scalable pipeline for automatic dataset construction and proposing TransAgg model for zero-shot composed image retrieval.
Enhancing attribution in large language models is crucial for accurate citations and grounded summaries.
Modeling urban population mobility using mobile phone data to address epidemic modeling gaps.
Existing 3D scene understanding models lack reliable uncertainty estimates, hindering their applicability in safety-critical contexts. Calib3D introduces a depth-aware scaling method to enhance model calibration and improve reliability.
Modeling urban population mobility during the COVID-19 pandemic using mobile phone data.
Innovative approach for emotional 3D talking heads generation using speech-driven techniques.
Efficient path planning for AGVs in dense environments without passages is crucial, addressed by the MARPF problem.
Certain data augmentation strategies can achieve similar or superior performance compared to some contrastive learning-based methods, demonstrating the potential to alleviate the data sparsity issue with fewer computational overhead.
人々が情報を求める際にどのように質問をするかをモデル化しました。
The study aims to reduce ageism levels through intergenerational collaboration in virtual reality escape room games, highlighting the potential of VR as a tool for mitigating ageism.