From the 2 of 26 papers with an AI index.
12 citations
- Shandong Institute of AutomationCN14 papers
- Chinese Academy of SciencesCN12 papers
- University of Chinese Academy of SciencesCN10 papers
- Beijing Academy of Artificial IntelligenceCN7 papers
- Beijing Institute of TechnologyCN2 papers
- Harbin Institute of TechnologyCN2 papers
- Peking UniversityCN2 papers
- Peng Cheng LaboratoryCN2 papers
- Technical University of MunichDE2 papers
- University College LondonGB2 papers
- AGH University of KrakowPL1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
17 papers
Geometry-Aware Camera Localization for Bronchoscopy
Lumin Chen, Qingyao Tian, Jinpeng Li +5
Camera localization in bronchoscopy remains a challenging problem due to stringent accuracy requirements, real-time constraints, and limited training data. Compared to natural scen…
Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation
Xin Sun, Zhongqi Chen, Qiang Liu +5
The paper introduces TTARAG, a test-time adaptation technique that updates a language model's parameters during inference to better integrate retrieved knowledge for specialized do…
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The paper introduces the TopCoW Challenge, a benchmark for automatically segmenting the Circle of Willis in CT and MR angiography using deep learning, and provides a new annotated…
Well-posedness of Dean-Kawasaki Equation with Singular Interactions
Likun Wang, Zhengyan Wu, Rangrang Zhang
Inspired by [Fehrman, Gess; Invent. Math., 2023] and [Fehrman, Gess; Arch. Ration. Mech. Anal., 2024], we consider the Dean-Kawasaki equation with singular interactions and correla…
CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction
Zixuan Li, Binzong Geng, Jing Xiong +11
Click-Through Rate (CTR) prediction, a core task in recommendation systems, estimates user click likelihood using historical behavioral data. Modeling user behavior sequences as te…
Adaptive 3D Convolution for Remote Sensing Image Fusion
Siran Peng, Xiangyu Zhu, Shang-Qi Deng +2
Remote sensing image fusion aims to create a high-resolution multi/hyper-spectral image from a high-resolution image with limited spectral information and a low-resolution image wi…