Defensa y seguridad

VocaDet: Sample-Driven Open-Vocabulary Object Detection and Segmentation via Visual Tokenization and Vector Database Retrieval

- Open-vocabulary object detection and segmentation aim to recognize arbitrary objects beyond predefined categories. Although recent vision-language and reference-based approaches have significantly...

On Exploring Input Resolution Scaling For Anytime LiDAR Object Detection

- Making tradeoffs between execution latency and result utility (i.e., anytime computing) for adapting to dynamic operational requirements has been shown to enhance the performance of cyber-physical...

Texture Representations in Deep Vision Models: Comparing CNNs, Vision Transformers, and Human Perception

- In computational vision science, Convolutional Neural Networks (CNNs) have emerged as a popular model of biological vision because of the alignment they can exhibit with neural and behavioral data in...

Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark

- RGB-Thermal (RGBT) Video Object Detection (VOD) has gained significant traction due to its ability to overcome the limitations of conventional RGB-based VOD under challenging conditions. However,...

LDFE: Laplacian Decoupled Feature Enhancement Block for Dual-Stream CNN-based RGB-IR Object Detection

- The complementary information between RGB and IR images can significantly enhance object detection performance under extreme conditions. Existing methods prefer dual-stream CNN backbones built upon...

LOGOS: Language-guided Oriented Object Detection in Aerial Scenes

- Object detection in geospatial scenes, such as satellite and aerial imagery, poses significant challenges due to the varying orientations and densities of objects, as well as the complex backgrounds...

Monocular Vision Based Control Framework for Grasping

- Grasping in unstructured environments requires handling objects with widely different mechanical properties, from soft and deformable items to rigid everyday objects. Most existing approaches address...

Image classification via a quantum-inspired strategy involving a mixture of experts

- Pattern recognition problems arise in a variety of physical image processing situations, and convolutional neural networks are a popular scheme for the required feature extraction and classification...

ROAD-Waymo: A Large-Scale Action Awareness Dataset for Autonomous Driving

- Autonomous Vehicle (AV) perception systems require more than simply seeing, via e.g., object detection or scene segmentation. They need a holistic understanding of what is happening within the scene...

Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents

- Heart rate measurement is one of the key requirements for real-time health monitoring, in particular for health caring of elderly people. Traditional heart rate measurement relies on contact sensing...

BUS: Brain-Inspired Unsupervised Self-Reflection for Advanced Multimodal Reasoning

- Current Vision-Language Models (VLMs) often struggle to handle complex visual tasks that require consistent and fine-grained reasoning. Recent methods aim to train models to facilitate...

Prototype-Anchored Generalized Manifold Regression for Unknown-Domain Object Detection

- In this paper, we study Single-Domain Generalized Object Detection (Single-DGOD), which aims to transfer a detector trained on a single source domain to multiple unseen domains. Existing methods...

Video-Based Detection of squint and cataract for accessibility-aware adaptive web interface rendering

- Squint and cataract are major ocular disorders that majorly affect visual perception and interaction capability. This paper proposes a real-time video-based automated detection system for squint and...

Dynamic Object Detection and Tracking in Construction: A Fisheye Camera and LiDAR Sensor Fusion Model

- Robust dynamic object detection and tracking are essential for enabling robots to operate safely and effectively alongside humans in complex environments such as construction sites. While LiDAR-based...

Rail Track Extraction from Rasterized Classified Point Clouds Using a Full-Resolution, Fully Convolutional Recurrent Neural Network

- Rail track extraction is essential for effective railway asset management and maintenance, especially in automated inspection and mapping workflows. This paper introduces a novel method for...

MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices

- Line segment detection is a key building block in visual SLAM, 3D reconstruction, and industrial inspection. Recent deep learning methods have greatly improved accuracy, yet even the smallest models...

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection

- Object detectors have many applications in safety-critical systems, but they are known to be sensitive to worst-case perturbations such as adversarial attacks, which limits their applicability in...

Pic2Spec: Generative Modeling Reconstructs Single Cell Raman Fingerprints from Brightfield Images

- Single-cell molecular characterization remains a bottleneck in scalable biological analysis because of labeling requirements, limited multiplexing, and reagents that perturb physiology. Raman...

WristMimic: Full-Body Humanoid Control with Wrist-Guided Manipulation

- Retargeting human object interaction demonstrations to physics based simulation requires reproducing not only body motion but also the object motion and contacts that make manipulation succeed....

SpecTrack: Spectral Prompt Guided Adaptive Experts for Multispectral Object Tracking

- Multispectral image(MSI) and hyperspectral image(HSI) object tracking object tracking exploits recorded band-wise observations to improve target--background discrimination under similar RGB...

Propose and Attend: Training-free MLLM Grounding Confidence via Multi-Token Localized Attention

- Multimodal large language models can emit localized predictions, bounding boxes for objects and temporal windows for video and audio events, but they hallucinate these regions prolifically. The...