118 citations · 277 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…