Learning Multimodal Affinities for Textual Editing in Images
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV
Comments ACM Transactions on Graphics 2021, to be presented in SIGGRAPH 2021
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 多模态生成 :multimodal(title,abstract);分类 cs.CV
Comments ACM Transactions on Graphics 2021, to be presented in SIGGRAPH 2021
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.AI
Comments The 2nd Workshop on NLG for HRI colocated with The 13th International Conference on Natural Language Generation
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.AI
Comments 26 pages, 12 figures
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV
Comments Accepted to German Conference on Pattern Recognition 2020. 24 pages, 11 figures, 5 tables
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CL
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.AI
Comments http://ceur-ws.org/Vol-2560/paper44.pdf
Journal ref Proceedings of the Workshop on Artificial Intelligence Safety (SafeAI 2020) co-located with 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, Feb 7, 2020
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CL
Comments Accepted at 2nd Conversational AI Workshop at NeurIPS 2018
专题命中 多模态生成 :multi-modal(title,abstract);分类 cs.CL
Comments Accepted at the International Joint Conference on Neural Networks, IJCNN, 2018
专题命中 多模态生成 :multi-modal(title,abstract);分类 cs.CV
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV
Comments Submitted to IROS 2019
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CL
Comments 21 pages, 12 figures
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV
专题命中 多模态生成 :multi-modal(title,abstract);分类 cs.CL
Comments Accepted by NAACL-HLT 2019. arXiv admin note: substantial text overlap with arXiv:1811.04498
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CL
Journal ref Proceedings of the 11th International Conference on Natural Language Generation, pages 129-134, Tilburg, The Netherlands, 2018
专题命中 多模态生成 :multi-modal(title,abstract);分类 cs.CL
Comments Workshop on Visually Grounded Interaction and Language, NIPS, 2018
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CL
专题命中 多模态生成 :cross-modal(title,abstract);分类 cs.CV
Comments 9 pages, Part of this work is accepted by IEEE International Conference on Multimedia Expo 2018
专题命中 多模态生成 :multi-modal(title,abstract);分类 cs.CV
专题命中 多模态生成 :multi-modal(title,abstract);分类 cs.CV
Journal ref Proc. Computational Diffusion MRI, MICCAI Workshop, Québec City, Canada, September 2017
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV
Comments CVPR 2017 Spotlight
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CL
Comments 23 pages
Journal ref JNIT (Journal of Next Generation Information Technology), Volume 4 Issue 5, July, 2013,Pages 87-109, ISSN 2092-8637. GlobalCIS (Convergence Information Society, Republic of Korea)
专题命中 多模态生成 :multi-modal(title,abstract);分类 cs.AI
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV
Comments 14 pages
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CL
Comments Accepted to the First Conference of Machine Translation (WMT16)
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV
Comments Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS February 2010, ISSN 1947 5500, http://sites.google.com/site/ijcsis/
Journal ref International Journal of Computer Science and Information Security, IJCSIS, Vol. 7, No. 2, pp. 028-037, February 2010, USA
重味多模碎片化到下一代强子对撞机的S波五重态
专题命中 多模态生成 :multimodal(title,abstract)
AI总结 研究了在下一代强子对撞机中通过多模碎片化产生S波五重态的机制及现象学影响。
Comments 49 pages, 9 figures, 245 references, published in Eur. Phys. J. C. One novel set of multimodal (direct multicharm and diquark-like initial-scale inputs) "PentaQuarks with 5 heavy Quarks" (PQ5Q1.0) NLO collinear fragmentation functions released in LHAPDF format and publicly available from https://github.com/FGCeliberto/Collinear_FFs/
专题命中 多模态生成 :multimodal(title,comments);分类 cs.CV、cs.CL、cs.AI
Comments 24 pages, 10 figures, 11 tables. Code can be found at: https://github.com/SinghNayanKumar/multimodal-product-lister/
专题命中 多模态生成 :multimodal(title,abstract)
Comments 9 pages
Journal ref Journal on Multimodal Interaction (JMUI), 1 (2007) 1-9
我们现在知道了吗?TerraMind和THOR的系统比较
机构 * University of Münster(明斯特大学) ; IBM Research(IBM研究院) ; Norwegian Computing Center(挪威计算中心)
专题命中 多模态生成 :multimodal(abstract);cross-modal(abstract);any-to-any(abstract);分类 cs.CV、cs.AI
AI总结 通过对TerraMind和THOR两个地理空间基础模型对比,研究其在补丁大小、解码器复杂性等方面的差异轴,发现架构设计选择对性能差异影响更大,体现互补投资策略,还得出假设和诊断消融方法,有望推广到未来模型。