activity
20192021
most citedM-LVC: Multiple Frames Prediction for Learned Video Compression

216 citations · 392 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2021★ 14 cited

Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules

Haisheng Fu, Feng Liang, Jianping Lin +7

Recently deep learning-based image compression methods have achieved significant achievements and gradually outperformed traditional approaches including the latest standard Versat…

eess.IV2020★ 4 cited

Learned Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution

Jianping Lin, Mohammad Akbari, Haisheng Fu +7

In this proposal, we design a learned multi-frequency image compression approach that uses generalized octave convolutions to factorize the latent representations into high-frequen…

eess.IV2020★ 216 cited

M-LVC: Multiple Frames Prediction for Learned Video Compression

Jianping Lin, Dong Liu, Houqiang Li +1

We propose an end-to-end learned video compression scheme for low-latency scenarios. Previous methods are limited in using the previous one frame as reference. Our method introduce…

cs.CV2019★ 2 cited

HPILN: A feature learning framework for cross-modality person re-identification

Jian-Wu Lin, Hao Li

Most video surveillance systems use both RGB and infrared cameras, making it a vital technique to re-identify a person cross the RGB and infrared modalities. This task can be chall…

cs.MM2019★ 156 cited

Deep Learning-Based Video Coding: A Review and A Case Study

Dong Liu, Yue Li, Jianping Lin +2

The past decade has witnessed great success of deep learning technology in many disciplines, especially in computer vision and image processing. However, deep learning-based video…