activity
20212025
most citedAIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

16 citations · 20 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2025

Adaptive High-Frequency Preprocessing for Video Coding

Yingxue Pang, Shijie Zhao, Junlin Li +1

High-frequency components are crucial for maintaining video clarity and realism, but they also significantly impact coding bitrate, resulting in increased bandwidth and storage cos…

cs.CV2025

Region-Adaptive Video Sharpening via Rate-Perception Optimization

Yingxue Pang, Shijie Zhao, Mengxi Guo +2

Sharpening is a widely adopted video enhancement technique. However, uniform sharpening intensity ignores texture variations, degrading video quality. Sharpening also increases bit…

cs.CV2025

Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution

Hongyu An, Xinfeng Zhang, Shijie Zhao +2

Due to storage and bandwidth limitations, videos transmitted over the Internet often exhibit low quality, characterized by low-resolution and compression artifacts. Although video…

cs.CV2024

PromptCIR: Blind Compressed Image Restoration with Prompt Learning

Bingchen Li, Xin Li, Yiting Lu +5

Blind Compressed Image Restoration (CIR) has garnered significant attention due to its practical applications. It aims to mitigate compression artifacts caused by unknown quality f…

cs.CV2023

Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling

Jinhai Yang, Mengxi Guo, Shijie Zhao +2

High-resolution (HR) images are usually downscaled to low-resolution (LR) ones for better display and afterward upscaled back to the original size to recover details. Recent work i…

cs.CV2022

Panoramic Video Salient Object Detection with Ambisonic Audio Guidance

Xiang Li, Haoyuan Cao, Shijie Zhao +3

Video salient object detection (VSOD), as a fundamental computer vision problem, has been extensively discussed in the last decade. However, all existing works focus on addressing…