arXiv eess.IV Image and Video Processing
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Reposted by arXiv eess.IV Image and Video Processing
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Owen T. Huber, Raghu G. Raj, Tianyu Chen, Zacharie I. Idriss: A Dynamic Mode Decomposition Approach to Morphological Component Analysis https://arxiv.org/abs/2510.05977 https://arxiv.org/pdf/2510.05977 https://arxiv.org/html/2510.05977
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Zahra Maleki, Amirhossein Akbari, Amirhossein Binesh, Babak Khalaj: SkinMap: Weighted Full-Body Skin Segmentation for Robust Remote Photoplethysmography https://arxiv.org/abs/2510.05296 https://arxiv.org/pdf/2510.05296 https://arxiv.org/html/2510.05296
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Naveenkumar G Venkataswamy, Yu Liu, Soumyabrata Dey, Stephanie Schuckers, Masudul H Imtiaz: Smartphone-based iris recognition through high-quality visible-spectrum iris image capture.V2 https://arxiv.org/abs/2510.06170 https://arxiv.org/pdf/2510.06170 https://arxiv.org/html/2510.06170
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R\'emi Delaunay, Christoph Hennersperger, Stefan W\"orz: Modulated INR with Prior Embeddings for Ultrasound Imaging Reconstruction https://arxiv.org/abs/2510.05731 https://arxiv.org/pdf/2510.05731 https://arxiv.org/html/2510.05731
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R\'emi Delaunay, Christoph Hennersperger, Stefan W\"orz: Learning Continuous Receive Apodization Weights via Implicit Neural Representation for Ultrafast ICE Ultrasound Imaging https://arxiv.org/abs/2510.05694 https://arxiv.org/pdf/2510.05694 https://arxiv.org/html/2510.05694
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Zhang, Hides, De Martino, Fofanah, Tuxworth: nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles https://arxiv.org/abs/2510.05555 https://arxiv.org/pdf/2510.05555 https://arxiv.org/html/2510.05555
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Jakub Frac, Alexander Schmatz, Qiang Li, Guido Van Wingen, Shujian Yu: Adapting HFMCA to Graph Data: Self-Supervised Learning for Generalizable fMRI Representations https://arxiv.org/abs/2510.05177 https://arxiv.org/pdf/2510.05177 https://arxiv.org/html/2510.05177
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Banerjee, Saha, Banerjee, Karmakar, Turdiev: A Scalable AI Driven, IoT Integrated Cognitive Digital Twin for Multi-Modal Neuro-Oncological Prognostics and Tumor Kinetics Prediction using Enha... https://arxiv.org/abs/2510.05123 https://arxiv.org/pdf/2510.05123 https://arxiv.org/html/2510.05123
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[2025-10-08 Wed (UTC), 6 new articles found for eessIV Image and Video Processing]
Reposted by arXiv eess.IV Image and Video Processing
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Baber Jan, Saeed Anwar, Aiman H. El-Maleh, Abdul Jabbar Siddiqui, Abdul Bais: SPEGNet: Synergistic Perception-Guided Network for Camouflaged Object Detection https://arxiv.org/abs/2510.04472 https://arxiv.org/pdf/2510.04472 https://arxiv.org/html/2510.04472
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Mattia Scardecchia: Unsupervised Transformer Pre-Training for Images: Self-Distillation, Mean Teachers, and Random Crops https://arxiv.org/abs/2510.03606 https://arxiv.org/pdf/2510.03606 https://arxiv.org/html/2510.03606
Reposted by arXiv eess.IV Image and Video Processing
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Islam, Anand, Wessels, de Kruiff, Kuipers, Ying, S\'anchez, Vadgama, B\"okman, Bekkers: Platonic Transformers: A Solid Choice For Equivariance https://arxiv.org/abs/2510.03511 https://arxiv.org/pdf/2510.03511 https://arxiv.org/html/2510.03511
Reposted by arXiv eess.IV Image and Video Processing
Reposted by arXiv eess.IV Image and Video Processing
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Zhe Zhang, Mingxiu Cai, Gaochang Wu, Jing Zhang, Lingqiao Liu, Dacheng Tao, Tianyou Chai, Xiatian Zhu: Unified Unsupervised Anomaly Detection via Matching Cost Filtering https://arxiv.org/abs/2510.03363 https://arxiv.org/pdf/2510.03363 https://arxiv.org/html/2510.03363
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Song Wang, Zhenyu Lei, Zhen Tan, Jundong Li, Javier Rasero, Aiying Zhang, Chirag Agarwal: Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks https://arxiv.org/abs/2510.03351 https://arxiv.org/pdf/2510.03351 https://arxiv.org/html/2510.03351
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Ameya Daigavane, YuQing Xie, Bodhi P. Vani, Saeed Saremi, Joseph Kleinhenz, Tess Smidt: Matching the Optimal Denoiser in Point Cloud Diffusion with (Improved) Rotational Alignment https://arxiv.org/abs/2510.03335 https://arxiv.org/pdf/2510.03335 https://arxiv.org/html/2510.03335
Reposted by arXiv eess.IV Image and Video Processing
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Rong Liu, Zhongpai Gao, Benjamin Planche, Meida Chen, Van Nguyen Nguyen, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Yue Wang, Andrew Feng, Ziyan Wu: Universal Beta Splatting https://arxiv.org/abs/2510.03312 https://arxiv.org/pdf/2510.03312 https://arxiv.org/html/2510.03312
Reposted by arXiv eess.IV Image and Video Processing
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Wojciech G\'orny, Micha{\l} {\L}asica, Alexandros Matsoukas: Adaptive double-phase Rudin--Osher--Fatemi denoising model https://arxiv.org/abs/2510.04382 https://arxiv.org/pdf/2510.04382 https://arxiv.org/html/2510.04382
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Bernadette Hahn, Gael Rigaud, Richard Schm\"ahl: The method of the approximate inverse for limited-angle CT https://arxiv.org/abs/2510.04369 https://arxiv.org/pdf/2510.04369 https://arxiv.org/html/2510.04369
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Sanhita Basu, Tomas Fr\"oding, Ali Teymur Kahraman, Dimitris Toumpanakis, Tobias Sj\"oblom: AI-Assisted Pleural Effusion Volume Estimation from Contrast-Enhanced CT Images https://arxiv.org/abs/2510.03856 https://arxiv.org/pdf/2510.03856 https://arxiv.org/html/2510.03856
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Shuoyan Wei, Feng Li, Shengeng Tang, Runmin Cong, Yao Zhao, Meng Wang, Huihui Bai: Towards Robust and Generalizable Continuous Space-Time Video Super-Resolution with Events https://arxiv.org/abs/2510.03833 https://arxiv.org/pdf/2510.03833 https://arxiv.org/html/2510.03833
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Changhong Li, Cl\'ement Bled, Rosa Fernandez, Shreejith Shanker: ReTiDe: Real-Time Denoising for Energy-Efficient Motion Picture Processing with FPGAs https://arxiv.org/abs/2510.03812 https://arxiv.org/pdf/2510.03812 https://arxiv.org/html/2510.03812
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Ankomah, Ayivor, Nyame, Wambo, Bonsu, Iorumbur, Confidence, Musah: How We Won BraTS-SSA 2025: Brain Tumor Segmentation in the Sub-Saharan African Population Using Segmentation-Aware Data Augm... https://arxiv.org/abs/2510.03568 https://arxiv.org/pdf/2510.03568 https://arxiv.org/html/2510.03568