activity
20162022
most citedTemporal Context Mining for Learned Video Compression

224 citations · 662 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2022★ 197 cited

Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

Jiahao Li, Bin Li, Yan Lu

For neural video codec, it is critical, yet challenging, to design an efficient entropy model which can accurately predict the probability distribution of the quantized latent repr…

cs.CV2022★ 3 cited

Neural Compression-Based Feature Learning for Video Restoration

Cong Huang, Jiahao Li, Bin Li +2

How to efficiently utilize the temporal features is crucial, yet challenging, for video restoration. The temporal features usually contain various noisy and uncorrelated informatio…

cs.CV2021★ 224 cited

Temporal Context Mining for Learned Video Compression

Xihua Sheng, Jiahao Li, Bin Li +3

We address end-to-end learned video compression with a special focus on better learning and utilizing temporal contexts. For temporal context mining, we propose to store not only t…

eess.IV2021★ 115 cited

Deep Contextual Video Compression

Jiahao Li, Bin Li, Yan Lu

Most of the existing neural video compression methods adopt the predictive coding framework, which first generates the predicted frame and then encodes its residue with the current…

cs.CV2018

Affinity Derivation and Graph Merge for Instance Segmentation

Yiding Liu, Siyu Yang, Bin Li +4

We present an instance segmentation scheme based on pixel affinity information, which is the relationship of two pixels belonging to a same instance. In our scheme, we use two neur…

cs.MM2016★ 84 cited

Pseudo Sequence based 2-D hierarchical reference structure for Light-Field Image Compression

Li Li, Zhu Li, Bin Li +2

In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light…

cs.MM2016★ 39 cited

Efficient Multiple Line-Based Intra Prediction for HEVC

Jiahao Li, Bin Li, Jizheng Xu +1

Traditional intra prediction usually utilizes the nearest reference line to generate the predicted block when considering strong spatial correlation. However, this kind of single l…