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Found 15 papers, 2 papers with code
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction
3DPX consists of (i) a novel progressive reconstruction network to improve 2D-to-3D reconstruction and, (ii) a contrastive-guided bidirectional multimodality alignment module for 3D-guided 2D PX classification and segmentation tasks.
DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification
Driver distraction remains a leading cause of traffic accidents, posing a critical threat to road safety globally.
Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
Based on the above observations, we first devise a Serpentine Interwoven Adaptive (SIA) scan mechanism, which scans UWF-SLO images along curved vessel structures in a snake-like crawling manner.
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks
Panoramic X-ray (PX) is a prevalent modality in dental practice for its wide availability and low cost.
Scene-aware Human Pose Generation using Transformer
Affordance learning considers the interaction opportunities for an actor in the scene and thus has wide application in scene understanding and intelligent robotics.
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts
Results: We introduce four SEIR variants to fit different situations in different countries and regions.
TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolution
We perform a generative task to encapsulate diverse priors into a generative network (GAN), which is the decoder sub-module of the deep non-local feature capture part, in the first stage.
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Computer-assisted automatic analysis of diabetic retinopathy (DR) is of great importance in reducing the risks of vision loss and even blindness.
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks
Random selection based defenses can achieve certified robustness by averaging the classifiers' predictions on the sub-datasets sampled from the training set.
Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation
In the shape evolution, we compensate intensity deficiency for the segmentation by introducing not only the modeled local shape priors but also global shape priors (clump--level) modeled by considering mutual shape constraints of cytoplasms in the clump.
Dynamic Region Division for Adaptive Learning Pedestrian Counting
Accurate pedestrian counting algorithm is critical to eliminate insecurity in the congested public scenes.
Deep Colorization
This paper investigates into the colorization problem which converts a grayscale image to a colorful version.
Tree-based Visualization and Optimization for Image Collection
The visualization of an image collection is the process of displaying a collection of images on a screen under some specific layout requirements.
A Heat-Map-based Algorithm for Recognizing Group Activities in Videos
In this paper, a new heat-map-based (HMB) algorithm is proposed for group activity recognition.
A new network-based algorithm for human activity recognition in video
Based on this network, we further model people in the scene as packages while human activities can be modeled as the process of package transmission in the network.
