activity
20222025
most citedDeepFGS: Fine-Grained Scalable Coding for Learned Image Compression

7 citations · 9 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2025

L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression

Yongqi Zhai, Luyang Tang, Wei Jiang +2

Recently, learned video compression (LVC) has shown superior performance under low-delay configuration. However, the performance of learned bi-directional video compression (LBVC)…

eess.IV2025

MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression

Wei Jiang, Yongqi Zhai, Jiayu Yang +2

Recent advances in learned image compression (LIC) have achieved remarkable performance improvements over traditional codecs. Notably, the MLIC series-LICs equipped with multi-refe…

cs.CV2025

Enhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction

Jingui Ma, Yang Hu, Luyang Tang +3

Recently, 3D Gaussian Spatting (3DGS) has gained widespread attention in Novel View Synthesis (NVS) due to the remarkable real-time rendering performance. However, the substantial…

cs.MM2024

Hybrid Local-Global Context Learning for Neural Video Compression

Yongqi Zhai, Jiayu Yang, Wei Jiang +3

In neural video codecs, current state-of-the-art methods typically adopt multi-scale motion compensation to handle diverse motions. These methods estimate and compress either optic…

eess.IV2024

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression

Yongqi Zhai, Yi Ma, Luyang Tang +2

Scalable coding, which can adapt to channel bandwidth variation, performs well in today's complex network environment. However, most existing scalable compression methods face two…

cs.CV2024

UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding

Jiayu Yang, Wei Jiang, Yongqi Zhai +2

This paper presents a learned video compression method in response to video compression track of the 6th Challenge on Learned Image Compression (CLIC), at DCC 2024.Specifically, we…