67 citations · 80 across the 18 of their papers we have counts for
6 papers · 1 filter
Robust Deep Joint Source-Channel Coding for Video Transmission over Multipath Fading Channel
Bohuai Xiao, Jian Zou, Fanyang Meng +2
To address the challenges of wireless video transmission over multipath fading channels, we propose a robust deep joint source-channel coding (DeepJSCC) framework by effectively ex…
Boosting Neural Video Representation via Online Structural Reparameterization
Ziyi Li, Qingyu Mao, Shuai Liu +3
Neural Video Representation~(NVR) is a promising paradigm for video compression, showing great potential in improving video storage and transmission efficiency. While recent advanc…
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression
Zhi Cao, Youneng Bao, Fanyang Meng +4
Deep neural network-based image compression (NIC) has achieved excellent performance, but NIC method models have been shown to be susceptible to backdoor attacks. Adversarial train…
Universal Learned Image Compression With Low Computational Cost
Bowen Li, Yao Xin, Youneng Bao +3
Recently, learned image compression methods have developed rapidly and exhibited excellent rate-distortion performance when compared to traditional standards, such as JPEG, JPEG200…
Exploring Structural Sparsity in Neural Image Compression
Shanzhi Yin, Chao Li, Wen Tan +3
Neural image compression have reached or out-performed traditional methods (such as JPEG, BPG, WebP). However,their sophisticated network structures with cascaded convolution layer…
Universal Efficient Variable-rate Neural Image Compression
Shanzhi Yin, Chao Li, Youneng Bao +1
Recently, Learning-based image compression has reached comparable performance with traditional image codecs(such as JPEG, BPG, WebP). However, computational complexity and rate fle…