37 citations · 41 across the 25 of their papers we have counts for
12 papers · 1 filter
Sparse Point Clouds Assisted Learned Image Compression
Yiheng Jiang, Haotian Zhang, Li Li +2
In the field of autonomous driving, a variety of sensor data types exist, each representing different modalities of the same scene. Therefore, it is feasible to utilize data from o…
USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s
Zhuoyuan Li, Junqi Liao, Chuanbo Tang +10
Image/video coding has been a remarkable research area for both academia and industry for many years. Testing datasets, especially high-quality image/video datasets are desirable f…
Bi-Directional Deep Contextual Video Compression
Xihua Sheng, Li Li, Dong Liu +1
Deep video compression has made remarkable process in recent years, with the majority of advancements concentrated on P-frame coding. Although efforts to enhance B-frame coding are…
NVC-1B: A Large Neural Video Coding Model
Xihua Sheng, Chuanbo Tang, Li Li +2
The emerging large models have achieved notable progress in the fields of natural language processing and computer vision. However, large models for neural video coding are still u…
Uniformly Accelerated Motion Model for Inter Prediction
Zhuoyuan Li, Yao Li, Chuanbo Tang +3
Inter prediction is a key technology to reduce the temporal redundancy in video coding. In natural videos, there are usually multiple moving objects with variable velocity, resulti…
In-Loop Filtering via Trained Look-Up Tables
Zhuoyuan Li, Jiacheng Li, Yao Li +3
In-loop filtering (ILF) is a key technology for removing the artifacts in image/video coding standards. Recently, neural network-based in-loop filtering methods achieve remarkable…
IVCA: Inter-Relation-Aware Video Complexity Analyzer
Junqi Liao, Yao Li, Zhuoyuan Li +2
To address the real-time analysis requirements of video streaming applications, we propose an innovative inter-relation-aware video complexity analyzer (IVCA) to enhance the existi…
Prediction and Reference Quality Adaptation for Learned Video Compression
Xihua Sheng, Li Li, Dong Liu +1
Temporal prediction is one of the most important technologies for video compression. Various prediction coding modes are designed in traditional video codecs. Traditional video cod…
DMOFC: Discrimination Metric-Optimized Feature Compression
Changsheng Gao, Yiheng Jiang, Li Li +2
Feature compression, as an important branch of video coding for machines (VCM), has attracted significant attention and exploration. However, the existing methods mainly focus on i…
Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding
Cunhui Dong, Haichuan Ma, Haotian Zhang +3
Neural network-based image coding has been developing rapidly since its birth. Until 2022, its performance has surpassed that of the best-performing traditional image coding framew…
Object Segmentation-Assisted Inter Prediction for Versatile Video Coding
Zhuoyuan Li, Zikun Yuan, Li Li +3
In modern video coding standards, block-based inter prediction is widely adopted, which brings high compression efficiency. However, in natural videos, there are usually multiple m…
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
Xihua Sheng, Li Li, Dong Liu +1
Video compression performance is closely related to the accuracy of inter prediction. It tends to be difficult to obtain accurate inter prediction for the local video regions with…