Angelica I. Avils-Rivero
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
10
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs. | Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Angelica I. Avils-Rivero, Chuanlong Xie, Yao Zhu |
| 2026 | ICPR | 3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising. | Peiyuan Jing, Yue Yang, Chun-Wun Cheng, Zhenxuan Zhang, Liutao Yang, Thiago V. Lima, Klaus Strobel, Antoine Leimgruber, Angelica I. Avils-Rivero, Guang Yang, Javier A. Montoya-Zegarra |
| 2025 | AAAI | Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations. | Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schnlieb, Yuyan Chen, Angelica I. Avils-Rivero |
| 2025 | CVPR | Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models. | Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Avils-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang |
| 2025 | MICCAI | Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation. | Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier A. Montoya-Zegarra, Carola-Bibiane Schnlieb, Angelica I. Avils-Rivero |
| 2024 | CVPR | Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. | Yijun Yang, Hongtao Wu, Angelica I. Avils-Rivero, Yulun Zhang, Jing Qin, Lei Zhu |
| 2024 | ECCV | Semi-supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization. | Hongtao Wu, Yijun Yang, Angelica I. Avils-Rivero, Jingjing Ren, Sixiang Chen, Haoyu Chen, Lei Zhu |
| 2024 | ICML | HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. | Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schnlieb, Angelica I. Avils-Rivero |
| 2024 | ICML | Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling. | Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I. Avils-Rivero, Jing Qin, Shujun Wang |
| 2024 | MICCAI | LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. | Huihui Xu, Yijun Yang, Angelica I. Avils-Rivero, Guang Yang, Jing Qin, Lei Zhu |
| 2024 | MICCAI | Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. | Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schnlieb, Angelica I. Avils-Rivero |
| 2023 | CVPR | SCOTCH and SODA: A Transformer Video Shadow Detection Framework. | Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Li, Carola-Bibiane Schnlieb, Angelica I. Avils-Rivero |
| 2023 | ICCV | Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. | Yijun Yang, Angelica I. Avils-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu |
| 2023 | MICCAI | CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? | Jiahao Huang, Angelica I. Avils-Rivero, Carola-Bibiane Schnlieb, Guang Yang |
| 2023 | MICCAI | DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. | Yijun Yang, Huazhu Fu, Angelica I. Avils-Rivero, Carola-Bibiane Schnlieb, Lei Zhu |
| 2022 | MICCAI | Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. | Angelica I. Avils-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schnlieb |
| 2022 | WACV | HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. | Hankui Peng, Angelica I. Avils-Rivero, Carola-Bibiane Schnlieb |
| 2020 | ICML | Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. | Kaixuan Wei, Angelica I. Avils-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schnlieb, Hua Huang |
| 2020 | MICCAI | The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification. | Marianne de Vriendt, Philip Sellars, Angelica I. Avils-Rivero |
| 2019 | ICCV | RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect. | Ruoteng Li, Robby T. Tan, Loong Fah Cheong, Angelica I. Avils-Rivero, Qingnan Fan, Carola Schnlieb |
| 2019 | IGARSS | Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. | Philip Sellars, Angelica I. Avils-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schnlieb |
| 2019 | MICCAI | GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. | Angelica I. Avils-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schnlieb |
| 2018 | ICIP | Peekaboo-Where are the Objects? Structure Adjusting Superpixels. | Georg Maierhofer, Daniel Heydecker, Angelica I. Avils-Rivero, Samar M. Alsaleh, Carola-Bibiane Schnlieb |