Summary of End-to-end Semantic-centric Video-based Multimodal Affective Computing, by Ronghao Lin et al.
End-to-end Semantic-centric Video-based Multimodal Affective Computingby Ronghao Lin, Ying Zeng, Sijie Mai, Haifeng HuFirst submitted…
Summary of Discom-kd: Cross-modal Knowledge Distillation Via Disentanglement Representation and Adversarial Learning, by Dino Ienco (evergreen et al.
DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learningby Dino Ienco, Cassio Fraga DantasFirst…
Summary of A Novel Spatiotemporal Coupling Graph Convolutional Network, by Fanghui Bi
A Novel Spatiotemporal Coupling Graph Convolutional Networkby Fanghui BiFirst submitted to arxiv on: 9 Aug…
Summary of Class-aware and Augmentation-free Contrastive Learning From Label Proportion, by Jialiang Wang et al.
Class-aware and Augmentation-free Contrastive Learning from Label Proportionby Jialiang Wang, Ning Zhang, Shimin Di, Ruidong…
Summary of Cod: Learning Conditional Invariant Representation For Domain Adaptation Regression, by Hao-ran Yang et al.
COD: Learning Conditional Invariant Representation for Domain Adaptation Regressionby Hao-Ran Yang, Chuan-Xian Ren, You-Wei LuoFirst…
Summary of An End-to-end Model For Time Series Classification in the Presence Of Missing Values, by Pengshuai Yao et al.
An End-to-End Model for Time Series Classification In the Presence of Missing Valuesby Pengshuai Yao,…
Summary of Continual Learning Of Nonlinear Independent Representations, by Boyang Sun et al.
Continual Learning of Nonlinear Independent Representationsby Boyang Sun, Ignavier Ng, Guangyi Chen, Yifan Shen, Qirong…
Summary of Sequential Representation Learning Via Static-dynamic Conditional Disentanglement, by Mathieu Cyrille Simon et al.
Sequential Representation Learning via Static-Dynamic Conditional Disentanglementby Mathieu Cyrille Simon, Pascal Frossard, Christophe De VleeschouwerFirst…
Summary of Clustering-friendly Representation Learning For Enhancing Salient Features, by Toshiyuki Oshima et al.
Clustering-friendly Representation Learning for Enhancing Salient Featuresby Toshiyuki Oshima, Kentaro Takagi, Kouta NakataFirst submitted to…
Summary of Dygmamba: Efficiently Modeling Long-term Temporal Dependency on Continuous-time Dynamic Graphs with State Space Models, by Zifeng Ding et al.
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Modelsby Zifeng…