Aviles-Rivero, Angelica I.

18 publications

AAAI 2025 Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I. Avilés-Rivero

NeurIPS 2025 D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction Lipei Zhang, Rui Sun, Zhongying Deng, Yanqi Cheng, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

CVPR 2025 Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Aviles-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang

TMLR 2025 Where Do We Stand with Implicit Neural Representations? a Technical and Performance Survey Amer Essakine, Yanqi Cheng, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

NeurIPSW 2024 Adaptive Neighborhoods in Contrastive Regression Learning for Brain Age Prediction Jakob Träuble, Lucy V Hiscox, Curtis Johnson, Carola-Bibiane Schönlieb, Gabriele S Kaminski Schierle, Angelica I Aviles-Rivero

TMLR 2024 Continuous U-Net: Faster, Greater and Noiseless Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

TMLR 2024 Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps Jakob Träuble, Lucy V Hiscox, Curtis Johnson, Carola-Bibiane Schönlieb, Gabriele S Kaminski Schierle, Angelica I Aviles-Rivero

CVPR 2024 Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal Yijun Yang, Hongtao Wu, Angelica I. Aviles-Rivero, Yulun Zhang, Jing Qin, Lei Zhu

ICML 2024 HAMLET: Graph Transformer Neural Operator for Partial Differential Equations Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

TMLR 2024 NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

ICML 2024 Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I Aviles-Rivero, Jing Qin, Shujun Wang

ECCV 2024 Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization Hongtao Wu, Angelica I Aviles-Rivero, Yijun Yang, Jingjing Ren, Sixiang Chen, Haoyu Chen, Lei Zhu

TMLR 2024 Single-Shot Plug-and-Play Methods for Inverse Problems Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

TMLR 2024 The Missing U for Efficient Diffusion Models Sergio Calvo Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

CVPR 2023 SCOTCH and SODA: A Transformer Video Shadow Detection Framework Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Aviles-Rivero

ICCV 2023 Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation Yijun Yang, Angelica I. Aviles-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu

ICLRW 2023 Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

WACV 2022 HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation Hankui Peng, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb