eess.IV

Papers

• Content-based image retrieval system with most relevant features among wavelet and color features (2019)
  Abdolreza Rashno and Elyas Rashno
  —
• Content-aware Density Map for Crowd Counting and Density Estimation (2019)
  Mahdi Maktabdar Oghaz et al.
  —
• Successive Projection Algorithm Robust to Outliers (2019)
  Nicolas Gillis
  —
• Content-based image retrieval speedup (2019)
  Sadegh Fadaei and Abdolreza Rashno and Elyas Rashno
  —
• Deep Multi-View Enhancement Hashing for Image Retrieval (2020)
  Chenggang Yan et al.
  —
• Random VLAD based Deep Hashing for Efficient Image Retrieval (2020)
  Li Weng et al.
  —
• A survey on deep hashing for image retrieval (2020)
  Xiaopeng Zhang
  —
• Camera-Based Piano Sheet Music Identification (2020)
  Daniel Yang and TJ Tsai
  —
• A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images (2020)
  Kenta Iida and Hitoshi Kiya
  —
• Efficient image retrieval using multi neural hash codes and bloom filters (2021)
  Sourin Chakrabarti
  —
• Deep Learning Based Image Retrieval in the JPEG Compressed Domain (2021)
  Shrikant Temburwar et al.
  —
• Tensor Shape Search for Optimum Data Compression (2022)
  Ryan Solgi et al.
  —
• LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud (2022)
  Ming-Yuan Yu et al.
  —
• Data-efficient Large Scale Place Recognition with Graded Similarity Supervision (2023)
  Maria Leyva-Vallina et al.
  —
• Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning' (2023)
  Milad Sikaroudi et al.
  —
• Train-Free Segmentation in MRI with Cubical Persistent Homology (2026)
  Anton Fran\c{c}ois et al.
  —
• High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC (2025)
  Yuxuan Wei et al.
  —
• Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review (2026)
  Xing Hu et al.
  —
• A European Multi-Center Breast Cancer MRI Dataset (2026)
  Gustav M\"uller-Franzes et al.
  —
• MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation (2026)
  Peiting Tian et al.
  —
• QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems (2026)
  Cassandra Tong Ye et al.
  —
• Zero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians (2026)
  Jeonghyun Noh et al.
  —
• VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes (2026)
  Paul Gavrikov et al.
  —
• Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements (2026)
  Tom Sprunck et al.
  —
• FlowSteer: Conditioning Flow Field for Consistent Image Restoration (2026)
  Tharindu Wickremasinghe et al.
  —
• LiM-YOLO: Less is More with Pyramid Level Shift for Ship Detection in Optical Remote Sensing (2026)
  Seon-Hoon Kim et al.
  —
• Hyperspectral Image Data Reduction for Endmember Extraction (2026)
  Tomohiko Mizutani
  —
• Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification (2026)
  Jyun-Ping Kao et al.
  —
• NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model Reasoning (2026)
  Yasaman Torabi et al.
  —
• An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS (2026)
  Qiyue Chen et al.
  —
• LUMINA: A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol (2026)
  Hongyi Pan et al.
  —
• Non-intrusive Body Composition Assessment from Full-body mmWave Scans (2026)
  Miriam Senne et al.
  —
• VAMP-Diff: VampPrior Latent Diffusion for Photoplethysmography Modeling (2026)
  Fatemeh Ghasemi Balouei et al.
  —
• Do Synthetic Brain MRIs Reliably Improve Tumour Classification? A StyleGAN2-ADA Class-Plane Augmentation Study on BRISC 2025 (2026)
  Jos\'e Rafael Noriega Cede\~no
  —
• STAMBRIDGE: Spectral-Temporal Amplitude-aware Mid-Feature Bridge for EEG Visual Decoding (2026)
  Jiahe Meng et al.
  —
• GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences (2026)
  Pengfei Song et al.
  —
• Discontinuous Galerkin Neural Operator for Pathology Defocus Deblurring (2026)
  Shaoqing Duan et al.
  —
• Efficient Learned Image Compression without Entropy Coding (2026)
  Hao Cao et al.
  —
• DrawVideo: Generating Long Video from Storyboard Keyframe Sketches (2026)
  Chuanzhi Xu et al.
  —
• Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment (2026)
  Chi Kit Wong et al.
  —
• Leveraging pretrained RGB denoisers for hyperspectral image restoration (2026)
  Daniele Picone et al.
  —
• Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification (2026)
  Yuli Wang et al.
  —
• Parameter-Efficient CT Reconstruction via Deep Graph Laplacian Regularization (2026)
  Veera Varuni Radhakrishnan et al.
  —
• A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation (2026)
  Zhengrui Guo et al.
  —
• How Accurate are Video Quality Models for Diffusion-Based Video Super-Resolution? (2026)
  Benjamin Herb et al.
  —
• Rapid online deep artifact suppression for real-time spiral bSSFP CMR with blipped-CAIPI simultaneous multi-slice imaging at 1.5 T (2026)
  Julius {\AA}kesson et al.
  —
• Prospective evaluation of multimodal respiratory failure prediction: Do chest X-rays improve performance beyond EHR signals? (2026)
  Xiaolei Lu et al.
  —
• Quantized Keys Steal Attention: Bias Correction for KV-Cache Compression in Video Diffusion (2026)
  Tuna Tuncer et al.
  —
• FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis (2026)
  Peiyu Duan et al.
  —
• Measuring Prediction Uncertainty in Neural Cellular Automata (2026)
  Ario Sadafi et al.
  —