:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pavlík, Peter, Ezzeddine, Anna Bou, Rozinajová, Viera
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.13589
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fully Differentiable Lagrangian Convolutional Neural Network for Physics-Informed Precipitation Nowcasting
by: Pavlík, Peter, et al.
Published: (2024)

Do Echo Top Heights Improve Deep Learning Nowcasts?
by: Pavlík, Peter, et al.
Published: (2025)

Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
by: Li, ChaoRong, et al.
Published: (2024)

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
by: Ling, Xudong, et al.
Published: (2025)

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
by: Gong, Junchao, et al.
Published: (2024)

STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
by: Foo, Shi Quan, et al.
Published: (2025)

PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting
by: Xiao, Xinyu, et al.
Published: (2026)

Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
by: Yan, Chiu-Wai, et al.
Published: (2024)

Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs
by: Gorade, Vandan, et al.
Published: (2024)

Assessing Privacy Preservation and Utility in Online Vision-Language Models
by: Chaudhari, Karmesh Siddharam, et al.
Published: (2026)

Deep Learning Multi-Horizon Irradiance Nowcasting: A Comparative Evaluation of Three Methods for Leveraging Sky Images
by: Eriksen, Erling W., et al.
Published: (2026)

VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions
by: Mihajlovic, Marko, et al.
Published: (2025)

DINOv3 as a Frozen Encoder for CRPS-Oriented Probabilistic Rainfall Nowcasting
by: Filho, Luciano Araujo Dourado, et al.
Published: (2025)

Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Models
by: Chaorong, Li, et al.
Published: (2024)

Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion
by: Huang, Yuxiang, et al.
Published: (2024)

Deep Learning-based Alignment Measurement in Knee Radiographs
by: Hu, Zhisen, et al.
Published: (2025)

HMAFlow: Learning More Accurate Optical Flow via Hierarchical Motion Field Alignment
by: Ma, Dianbo, et al.
Published: (2024)

Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
by: Zeng, Shuang, et al.
Published: (2023)

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking
by: Alve, Shahran Rahman
Published: (2024)

Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps
by: Wei, Zihang, et al.
Published: (2023)

DSFEC: Efficient and Deployable Deep Radar Object Detection
by: Dandugula, Gayathri, et al.
Published: (2024)

Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
by: Chou, Yu-Cheng, et al.
Published: (2023)

Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges
by: Zhu, Ethan, et al.
Published: (2024)

Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction
by: Bai, Xue, et al.
Published: (2024)

Motion Dreamer: Boundary Conditional Motion Reasoning for Physically Coherent Video Generation
by: Xu, Tianshuo, et al.
Published: (2024)

FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection
by: Kahya, Sabri Mustafa, et al.
Published: (2025)

6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
by: Gao, Zhongpai, et al.
Published: (2024)

Deep-Motion-Net: GNN-based volumetric organ shape reconstruction from single-view 2D projections
by: Wijesinghe, Isuru, et al.
Published: (2024)

A Plug-and-Play Physical Motion Restoration Approach for In-the-Wild High-Difficulty Motions
by: Zhang, Youliang, et al.
Published: (2024)

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences
by: Najafi, Sina, et al.
Published: (2025)

Sim2Radar: Toward Bridging the Radar Sim-to-Real Gap with VLM-Guided Scene Reconstruction
by: Bejerano, Emily, et al.
Published: (2026)

RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection
by: Li, Yiheng, et al.
Published: (2024)

Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
by: Yang, Maizhe, et al.
Published: (2025)

Zero-Shot Gaze-based Volumetric Medical Image Segmentation
by: Shmykova, Tatyana, et al.
Published: (2025)

Refining Gaussian Splatting: A Volumetric Densification Approach
by: Gafoor, Mohamed Abdul, et al.
Published: (2025)

Render-FM: A Foundation Model for Real-time Photorealistic Volumetric Rendering
by: Gao, Zhongpai, et al.
Published: (2025)

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
by: Schusterbauer, Johannes, et al.
Published: (2026)

A Space-Time Transformer for Precipitation Nowcasting
by: Harris, Levi, et al.
Published: (2025)

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving
by: Wu, Yuzhi, et al.
Published: (2024)

PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation
by: Huang, Yidong, et al.
Published: (2026)