A coupled autoencoder approach for multi-modal analysis of cell types
专题命中 多模态评测 :multi-modal(title);cross-modal(abstract)
Comments Main text : 10 pages, 5 figures. Supp text : 6 pages, 3 figures
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
专题命中 多模态评测 :multi-modal(title);cross-modal(abstract)
Comments Main text : 10 pages, 5 figures. Supp text : 6 pages, 3 figures
专题命中 多模态评测 :multimodal(title,abstract)
Comments Published in IEEE SmartSys 2019 : Fourth IEEE Workshop on Smart Service Systems (SmartSys)
专题命中 多模态评测 :cross-modal(title,abstract)
Comments 5 figures, tables after References (as required by SciRep template)
专题命中 多模态评测 :multimodal(title,abstract)
Comments accepted to AAAI 2019, 8 pages; typos corrected
专题命中 多模态评测 :multi-modal(title,abstract)
Comments 11 pages, 6 figures
专题命中 多模态评测 :multimodal(title,abstract)
专题命中 多模态评测 :multimodal(title,abstract)
Comments 29 pages, 8 figures, 2 supporting figures
专题命中 多模态评测 :multimodal(title,abstract)
Comments Preprint Version
Journal ref 2019 Pacific Rim Knowledge Acquisition Workshop
专题命中 多模态评测 :multi-modal(title,abstract)
专题命中 多模态评测 :multimodal(title);分类 cs.CV、cs.CL、cs.MM
Comments To appear in ACL 2019
专题命中 多模态评测 :multimodal(title,abstract)
Comments ACM CHI 2019
专题命中 多模态评测 :multimodal(title,abstract)
Comments 12th Women in Machine Learning Workshop (WiML 2017), co-located with the 31st Conference on Neural Information Processing Systems (NeurIPS 2017), Long Beach, CA, USA
专题命中 多模态评测 :multi-modal(title,abstract)
Journal ref In Proceedings of the Genetic and Evolutionary Computation Conference 2018, GECCO-2018, July 15-19, 2018, Kyoto, Japan. ACM, New York, NY, USA
专题命中 多模态评测 :multimodal(title,abstract)
Comments Submitted and pending notification from AAAI
专题命中 多模态评测 :multimodal(title);multi-modal(abstract)
专题命中 多模态评测 :multimodal(title,abstract)
专题命中 多模态评测 :multimodal(title,abstract)
专题命中 多模态评测 :multi-modal(title,abstract)
Comments ACRV Technical Report
专题命中 多模态评测 :multimodal(title);multi-modal(abstract)
Comments 9 pages
专题命中 多模态评测 :multimodal(title,abstract)
专题命中 多模态评测 :multimodal(title,abstract)
Comments Presented at MLINI-2016 workshop, 2016 (arXiv:1701.01437)
专题命中 多模态评测 :multimodal(title);multi-modal(abstract)
专题命中 多模态评测 :multimodal(title,abstract)
专题命中 多模态评测 :multimodal(title,abstract)
专题命中 多模态评测 :multimodal(title,abstract)
Comments 18 Pages. arXiv admin note: text overlap with arXiv:1405.5164
Journal ref Soft Computing 17 (3) , (2013), pp. 489-502
专题命中 多模态评测 :multimodal(title,abstract)
Comments MSc Thesis, English-written, 89 pages, University of Porto
专题命中 多模态评测 :multi-modal(title,abstract)
Comments Refereed conference proceeding, presented at 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Journal ref AIP Conference Proceedings, Volume 1553, pp. 106-113 (2013)
专题命中 多模态评测 :multimodal(title,abstract)
Journal ref International Journal of Advanced Research in Artificial Intelligence 1(9) 6 - 13 (2012)
用于无CT的PET衰减校正的解剖学与物理学监督:BIC-MAC 2026挑战赛
机构 * National Technical University of Athens(雅典国家技术大学)
专题命中 多模态评测 :cross-modal(abstract,abstract_cn);multimodal(abstract);分类 cs.CV
AI总结 本研究针对BIC-MAC 2026挑战赛,基于nnU-Net架构结合解剖学与物理学监督,利用预训练权重优化流程,实现了无CT的PET衰减校正方案,验证了该方法的有效性。
Comments 6 pages, 1 table. Technical report for the BIC-MAC 2026 Challenge
VideoVIBE:用于一次性交互式网站生成的基于视频的诊断基准
专题命中 多模态评测 :MLLM(summary_cn,abstract_cn);分类 cs.CV
AI总结 针对现有一次性交互式网站生成质量评估的不足,提出VideoVIBE基准与V2Lens多智能体系统,实验显示V2Lens可提升Video MLLM的评估性能。