archive
Every paper Pith has read. Search by title, abstract, or pith.
837 papers in eess.IV · page 2
-
EchoSR runs lightweight super-resolution twice as fast with better quality
EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution
-
Residual model denoises low-dose CT in one 15 ms step
RDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising
-
Single compressed atlas drives better immersive video
A Single Atlas is All You Need: Decoder-Side Gaussian Splatting for Immersive Video
-
Decoder predicts fused priors
Adaptive Fused Prior Transfer for Controllable Generative Image Compression
-
Lower-lung ultrasound features forecast 30-day heart failure readmission
Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis
-
Axial fusion in Mamba model sharpens remote sensing segmentation
Axial-Relation Guided Fusion State Space Model for Optical-Elevation Sensing Image Segmentation
-
Global dynamic kernels improve SAR change detection
Synthetic Aperture Radar Image Change Detection Based on Global Dynamic Context-Aware Network
-
Legacy GPUs power real-time 8K60 for connected vehicles
Sustainable Real-Time 8K60 HEVC Encoding for V2X: Repurposing Legacy NVENC Hardware at the Vehicular Edge
-
Logistic-map encryption plus Huffman compression handles large videos in one step
A Method for Securely Transmitting Large Video Files Using Chaotic Compression and Encryption
-
Adjacent slices boost MRI interpolation SSIM by 58%
Deep Learning for MRI Slice Interpolation: The Critical Role of Problem Formulation
-
Early VGG layers stop grid artifacts in brain diffusion MRI super-resolution
Layer Selection in Feature-Based Losses Affects Image Quality and Microstructural Consistency in Deep Learning Super-Resolution of Brain Diffusion MRI
-
Subclass priors shorten paths for rare medical images
Flow Matching with Optimized Subclass Priors for Medical Image Augmentation
-
AV2 cuts video bitrates nearly 30 percent vs AV1
Video Quality Evaluation Methodology and Result of AV2 Compression Performance
-
Standard 3D U-Net beats shape-prior variants in heart CT scans
Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation
-
AI segments tree crowns in broadleaf forests from drone photos
Highly Detailed and Generalizable Broadleaf Tree Crown Instance Segmentation from UAV Imagery
-
Joint deblurring raises brain tumor Dice scores in blurred MRI
Degradation-Aware Blur-Segmentation of Brain Tumor
-
Invertible network rescales video frames with less quality loss
TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling
-
Diffusion model refines protein structures from X-ray data 33x faster
CrystalBoltz: End-to-End Protein Structure Determination via Experiment-Guided Diffusion for X-Ray Crystallography
-
Text summaries cut remote sensing image data to 2%
Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction
-
Live streams switch resolutions on the fly to save 9% bitrate
Dynamic resolution switching for live streaming
-
Denoising-trained energy model gives normalized posteriors for any linear inverse problem
Learning Normalized Energy Models for Linear Inverse Problems
-
Distilled preconditioning raises reconstruction quality
DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems
-
Switching resolutions saves 55% energy for video detection on MCUs
MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes
-
FaSST matches LFNST gains at 84 percent lower complexity
FaSST: Fast Sparsifying Secondary Transform
-
Graph method denoises neuromorphic camera events
Denoising for Neuromorphic Cameras Based on Graph Spectral Features
-
Sonification lifts eye surgery event detection from 61 to 83 percent
Physics-Based iOCT Sonification for Real-time Interaction Awareness in Subretinal Injection
-
Pipeline generates crown proposals from partial dental scans in minutes
From Full and Partial Intraoral Scans to Crown Proposal: A Classification-Guided Restoration Assistance Pipeline
-
One model unifies filtering, smoothing and reanalysis via diffusion
ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing
-
Keyed nonlinear transform cuts re-identification AUC 36% in medical split inference
Keyed Nonlinear Transform: Lightweight Privacy-Enhancing Feature Sharing for Medical Image Analysis
-
Implicit depth and Beer-Lambert law restore underwater images with 0.9M parameters
An Underwater Dehazing Network with Implicit Transmission Estimation
-
Diffusion model generates one-shot fluence maps for VMAT plans
Learning to Optimize Radiotherapy Plans via Fluence Maps Diffusion Model Generation and LSTM-based Optimization
-
Region selection among neural codecs reaches HEVC rates at single-codec cost
Spatial Competition for Low-Complexity Learned Image Compression
-
Bézier vessel encoding shifts disease predictions dose-responsively
A General B\'ezier Tree Encoding Counterfactual Framework for Retinal-Vessel-Mediated Disease Analysis
-
2D and 3D MRI models need different regularization for sparse data
Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data
-
Stereo event cameras track 3D hand poses at 30 mm error
EgoEV-HandPose: Egocentric 3D Hand Pose Estimation and Gesture Recognition with Stereo Event Cameras
-
CycleGAN turns standard CT scans into usable low-dose training data
A Comparative Analysis of CT Degradation for LDCT Nodule Classification using Radiomics
-
Some frozen WSI-MIL models localize predictions to far fewer tiles
Are Compact Rationales Free? Measuring Tile Selection Headroom in Frozen WSI-MIL
-
Graph attention counts floors in street-view facades
GATA2Floor: Graph attention for floor counting in street-view facades
-
Transformer boosts UAV image PSNR by 5.7 dB with privacy
On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning
-
Radiomics guide diffusion model for label-free lung CT segmentation
DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation
-
Joint optimization raises low-field MRI quality without extra time
NexOP: Joint Optimization of NEX-Aware k-space Sampling and Image Reconstruction for Low-Field MRI
-
Calibrated adversarial stain aug reaches 93.9% on unseen slides
Physics-Grounded Adversarial Stain Augmentation with Calibrated Coverage Guarantees
-
Distillation across CT windows lifts AUC by 10-16 points
Uncovering Latent Pathological Signatures in Pulmonary CT via Cross-Window Knowledge Distillation
-
Frequency modules lift transformer accuracy on 3D medical scans
FEFormer: Frequency-enhanced Vision Transformer for Generic Knowledge Extraction and Adaptive Feature Fusion in Volumetric Medical Image Segmentation
-
Lightweight CNN hits 99 percent accuracy on brain tumor MRI scans
Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network
-
Co-learning refines noisy labels in split federated medical segmentation
SplitFed-CL: A Split Federated Co-Learning Framework for Medical Image Segmentation with Inaccurate Labels
-
Fine-tuned language-vision model reaches 98% on SAR targets
Towards a Large Language-Vision Question Answering Model for MSTAR Automatic Target Recognition
-
Dataset turns satellite construction images into 2.3 million VQA examples
Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model
-
One network registers cardiac MRI of any length or contrast
Set-Based Groupwise Registration for Variable-Length, Variable-Contrast Cardiac MRI
-
Online SAR processor focuses images line by line in 16 ms
Learning to Focus Synthetic Aperture Radar On-line with State-Space Models