IEEE

Panoramic Active Visual System for Distant Traffic Sign Recognition

Abstract: Traffic sign recognition (TSR) is one of the most important visual perception tasks for autonomous vehicles. Traffic signs situated far away occupy only a few pixels in the images captured ...
GitHub

GitHub - mtp0326/SynthToSoul: Audio analysis application designed to distinguish between Human-Made and AI-Generated music using custom CNN trained on Mel spectrograms and ...

Audio analysis application designed to distinguish between Human-Made and AI-Generated music using custom CNN trained on Mel spectrograms and OpenL3 embeddings. - mtp0326/SynthToSoul ...
IEEE

Human Daily Activity Recognition using Spectrogram and 2D-CNN Through Doppler Radar

Abstract: The identification and analysis of human daily activities has garnered substantial attention in recent years, driven by its expansive applications in areas including healthcare, surveillance ...
IEEE

TifinNet: CNN–Transformer Hybrid Architecture for Tifinagh Handwritten Recognition

Abstract: Handwritten Optical Character Recognition (OCR) for the Tifinagh script remains a challenging task due to the script’s geometric complexity, high similarity among rotated characters, and the ...
IEEE

Detecting Deep Fake Audio: A Hybrid CNN-LSTM Approach Leveraging Spectrogram Analysis

Abstract: The rapid progress in audio synthesis technologies allows the generating of artificial audio deep-fakes that sound convincingly real, thus causing security, privacy, and authenticity ...
IEEE

Lightweight and Personalized Single-Eye Emotion Recognition via CNN-SNN Spatiotemporal Learning and Memory-Inferred Event Features

Abstract: Emotion recognition is essential for improving user experience and interaction quality in human-centered applications. While recent studies have leveraged both event and traditional cameras ...
IEEE

Mel Spectrogram Based CNN with Attention Mechanisms for Robust Music Genre Classification

Abstract: Music genre classification is an important task in music information retrieval with uses in recommendation, indexing and streaming. This paper proposes a CNN-based framework that classifies ...
IEEE

CKADisor: Central Kernel-Aligned Distillation for Efficient Event-Driven Object Recognition

Abstract: Spiking neural networks (SNNs) are one of the best practices for efficient event-driven object recognition. To achieve high recognition accuracy, existing methods generally accumulate ...
IEEE

Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation

Abstract: Medical image segmentation is increasingly reliant on deep learning techniques, yet the promising performance often come with high annotation costs. This paper introduces Weak-Mamba-UNet, an ...
IEEE

Deep Spectrogram-Based EEG Decoding of Visual Stimuli Using a Novel CNN Architecture

Abstract: Electroencephalography EEG - based decoding of visual stimuli has gained traction in computational neuroscience and brain-computer interface applications. This study explores the feasibility ...
IEEE

A Progressive Fusion Framework of Rotationally-Enhanced 3D CNN and GCN-DTW for Table Tennis Action Recognition and Quality Evaluation

Abstract: Most existing studies on table tennis training focus on either action recognition or scoring alone, lacking a systematic way to model both tasks together, which limits the ability to provide ...
IEEE

Clinically Oriented CNN–Transformer Architectures for Reliable Bronchoscopic Recognition of Lung Lesions and Anatomical Structures

Abstract: Bronchoscopy is central to diagnosing central lung cancers but remains limited by reliance on operator expertise and variability in visual interpretation. In this work, we adapt and evaluate ...