3 papers
eess.SP2025
DeepGuard: Defending Deep Joint Source-Channel Coding Against Eavesdropping at Physical-Layer
Kaiyi Chi, Yinghui He, Qianqian Yang +4
Deep joint source-channel coding (DeepJSCC) has emerged as a promising paradigm for efficient and robust information transmission. However, its intrinsic characteristics also pose…
cs.CV2025
Cerberus: Real-Time Video Anomaly Detection via Cascaded Vision-Language Models
Yue Zheng, Xiufang Shi, Jiming Chen +1
Video anomaly detection (VAD) has rapidly advanced by recent development of Vision-Language Models (VLMs). While these models offer superior zero-shot detection capabilities, their…
eess.SP2025
DeepStream: Prototyping Deep Joint Source-Channel Coding for Real-Time Multimedia Transmissions
Kaiyi Chi, Yinghui He, Qianqian Yang +5
Deep learning-based joint source-channel coding (DeepJSCC) has emerged as a promising technique in 6G for enhancing the efficiency and reliability of data transmission across diver…