118 citations · 277 across the 13 of their papers we have counts for
13 papers
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…
MLIC: Multi-Reference Entropy Model for Learned Image Compression
Wei Jiang, Jiayu Yang, Yongqi Zhai +3
Recently, learned image compression has achieved remarkable performance. The entropy model, which estimates the distribution of the latent representation, plays a crucial role in b…
Improving Multi-generation Robustness of Learned Image Compression
Litian Li, Zheng Yang, Ronggang Wang
Benefit from flexible network designs and end-to-end joint optimization approach, learned image compression (LIC) has demonstrated excellent coding performance and practical feasib…
Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding
Wei Gao, Qiuping Jiang, Ronggang Wang +3
Consistent quality oriented rate control in video coding has attracted much more attention. However, the existing efforts only focus on decreasing variations between every two adja…
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
Yi Ma, Yongqi Zhai, Ronggang Wang
Scalable coding, which can adapt to channel bandwidth variation, performs well in today's complex network environment. However, the existing scalable compression methods face two c…
Multi-frame Joint Enhancement for Early Interlaced Videos
Yang Zhao, Yanbo Ma, Yuan Chen +3
Early interlaced videos usually contain multiple and interlacing and complex compression artifacts, which significantly reduce the visual quality. Although the high-definition reco…
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Rui Peng, Ronggang Wang, Yawen Lai +2
Self-supervised methods play an increasingly important role in monocular depth estimation due to their great potential and low annotation cost. To close the gap with supervised met…
Super-Resolving Compressed Video in Coding Chain
Dewang Hou, Yang Zhao, Yuyao Ye +3
Scaling and lossy coding are widely used in video transmission and storage. Previous methods for enhancing the resolution of such videos often ignore the inherent interference betw…
COLA-Net: Collaborative Attention Network for Image Restoration
Chong Mou, Jian Zhang, Xiaopeng Fan +2
Local and non-local attention-based methods have been well studied in various image restoration tasks while leading to promising performance. However, most of the existing methods…
Rethinking deinterlacing for early interlaced videos
Yang Zhao, Wei Jia, Ronggang Wang
With the rapid development of image restoration techniques, high-definition reconstruction of early videos has achieved impressive results. However, there are few studies about the…
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
Jinzhuo Wang, Wenmin Wang, Ronggang Wang +1
Monte Carlo tree search (MCTS) is extremely popular in computer Go which determines each action by enormous simulations in a broad and deep search tree. However, human experts sele…
Local Patch Encoding-Based Method for Single Image Super-Resolution
Yang Zhao, Ronggang Wang, Wei Jia +3
Recent learning-based super-resolution (SR) methods often focus on dictionary learning or network training. In this paper, we discuss in detail a new SR method based on local patch…
VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement
Haiqiang Wang, Ioannis Katsavounidis, Jiantong Zhou +11
A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed. Several small JND-based image/video quality datasets were relea…