output
20112026
most citedSupervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks

325 citations

112 papers

eess.AS2026★ 1 cited

Visual-Informed Speech Enhancement Using Attention-Based Beamforming

Chihyun Liu, Jiaxuan Fan, Mingtung Sun +3

Recent studies have demonstrated that incorporating auxiliary information, such as speaker voiceprint or visual cues, can substantially improve Speech Enhancement (SE) performance.…

cs.CV2026

GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture

Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo +1

The human visual system tracks objects by integrating current observations with previously observed information, adapting to target and scene changes, and reasoning about occlusion…

eess.SP2025★ 12 cited

NGGAN: Noise Generation GAN Based on the Practical Measurement Dataset for Narrowband Powerline Communications

Ying-Ren Chien, Po-Heng Chou, You-Jie Peng +3

To effectively process impulse noise for narrowband powerline communications (NB-PLCs) transceivers, capturing comprehensive statistics of nonperiodic asynchronous impulsive noise…

quant-ph2025★ 3 cited

Decoherence-Aware Entangling and Swapping Strategy Optimization for Entanglement Routing in Quantum Networks

Shao-Min Huang, Cheng-Yang Cheng, Ming-Huang Chien +2

Quantum teleportation enables high-security communications through end-to-end quantum entangled pairs. End-to-end entangled pairs are created by using swapping processes to consume…

cs.LG2025★ 12 cited

MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillation

Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +2

The rising aging population has increased the importance of fall detection (FD) systems as an assistive technology, where deep learning techniques are widely applied to enhance acc…

cs.CV2025★ 41 cited

Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models

Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +1

Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to a significant burden on quality inspection personnel and makes it…