20 citations · 57 across the 8 of their papers we have counts for
10 papers
BiCRVC: An Efficient Bidirectional Neural Video Compression Framework via Coupled Representation Coding
Wei Jiang, Junru Li, Kai Zhang +1
Neural video compression (NVC) has achieved strong compression performance, but practical random-access coding still faces two technical challenges: existing bidirectional NVCs (BV…
From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
Chaoyi Lin, Yaojun Wu, Yue Li +3
Recent implicit neural representation (INR)-based image compression methods have shown competitive performance by overfitting image-specific latent codes. However, they remain infe…
BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compression
Wei Jiang, Junru Li, Kai Zhang +1
Recent forward prediction-based learned video compression (LVC) methods have achieved impressive results, even surpassing VVC reference software VTM under the Low Delay B (LDB) con…
An Information-Theoretic Regularizer for Lossy Neural Image Compression
Yingwen Zhang, Meng Wang, Xihua Sheng +4
Lossy image compression networks aim to minimize the latent entropy of images while adhering to specific distortion constraints. However, optimizing the neural network can be chall…
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression
Wei Jiang, Junru Li, Kai Zhang +1
In Learned Video Compression (LVC), improving inter prediction, such as enhancing temporal context mining and mitigating accumulated errors, is crucial for boosting rate-distortion…
LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression
Wei Jiang, Junru Li, Kai Zhang +1
Existing learned video compression models employ flow net or deformable convolutional networks (DCN) to estimate motion information. However, the limited receptive fields of flow n…
A Neural-network Enhanced Video Coding Framework beyond ECM
Yanchen Zhao, Wenxuan He, Chuanmin Jia +7
In this paper, a hybrid video compression framework is proposed that serves as a demonstrative showcase of deep learning-based approaches extending beyond the confines of tradition…
Designs and Implementations in Neural Network-based Video Coding
Yue Li, Junru Li, Chaoyi Lin +9
The past decade has witnessed the huge success of deep learning in well-known artificial intelligence applications such as face recognition, autonomous driving, and large language…
Sub-sampled Cross-component Prediction for Emerging Video Coding Standards
Junru Li, Meng Wang, Li Zhang +5
Cross-component linear model (CCLM) prediction has been repeatedly proven to be effective in reducing the inter-channel redundancies in video compression. Essentially speaking, the…
Low Complexity Trellis-Coded Quantization in Versatile Video Coding
Meng Wang, Shiqi Wang, Junru Li +4
The forthcoming Versatile Video Coding (VVC) standard adopts the trellis-coded quantization, which leverages the delicate trellis graph to map the quantization candidates within on…