This CVPR workshop paper is the Open Access version, provided by the Computer Vision Foundation. Except for this watermark, it is identical to the accepted version; the final published version of the proceedings is available on IEEE Xplore. Dynamic Multimodal Fusion Zihui Xue Radu Marculescu The ...
Dynamic Multimodal Fusion Zihui Xue, Radu Marculescu 6th Multi-Modal Learning and Applications Workshop (MULA), CVPR 2023 Modality-level DynMM Overview Task: (1) Movie Genre Classification on MM-IMDB; (2) Sentiment Analysis on CMU-MOSEI
《VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models》(CVPR 2023) GitHub: github.com/ximinng/VectorFusion-pytorch《Parallel Diffusion Model of Operator and Image for Blind Inverse Problems》(CVPR 2023) GitHub: github.com/BlindDPS/blind-dps [fig7]...
Li et al.17 analyzed the problems of the large number of dynamic convolution params and the high difficulty of joint optimization of dynamic attention and conventional convolution kernels from the perspective of matrix decomposition, proposed a DCD model with dynamic channel fusion mechanism. Compared ...
(2023) Zheng, J., Wang, Y., Tan, C., et al.: Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), pp. 23141–23150 (2023) Selvaraju, R.R., Cogswell, M., Das, A....
In Proceedings of the IEEE/CVF Conference on CVPR, pages 15148–15158, June 2022. 2 [5] Yin Fan, Xiangju Lu, Dian Li, and Yuanliu Liu. Video-based emotion recognition using cnn-rnn and c3d hybrid networks. In Proceedings of the 18th ACM international conferen...
Multimodal Attention Dynamic Fusion Network for Facial Micro-Expression Recognition. Entropy. 2023; 25(9):1246. https://doi.org/10.3390/e25091246 Chicago/Turabian Style Yang, Hongling, Lun Xie, Hang Pan, Chiqin Li, Zhiliang Wang, and Jialiang Zhong. 2023. "Multimodal Attention Dynamic Fusion ...
K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human–Robot Interaction. IEEE Trans. Ind. Electron. 2023, 70, 1016–1024. [Google Scholar] [CrossRef] Li, L.; Zhao, Y.; Jiang, D.; Zhang, Y.; Wang, F.; Gonzalez, I.; Valentin, E.;...
Multimodal multi-head convolutional attention with various kernel sizes for medical image super-resolution. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, HI, USA, 3–7 January 2023; pp. 2195–2205. [Google Scholar] Cornebise, J.; Oršolić, ...
In Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, 21–26 July 2017; pp. 3462–3471. [Google Scholar] [CrossRef] [Green Version] Krizhevsky, A.; Sutskever, I.; Hinton, G.E. Imagenet classification with deep convolutional ...