6 papers
RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution
Biao Wu, Diankai Zhang, Shaoli Liu +3
As a fundamental challenge in visual computing, video super-resolution (VSR) focuses on reconstructing highdefinition video sequences from their degraded lowresolution counterparts…
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024
Biao Wu, Diankai Zhang, Si Gao +3
Pixel-level Scene Understanding is one of the fundamental problems in computer vision, which aims at recognizing object classes, masks and semantics of each pixel in the given imag…
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation
Biao Wu, Diankai Zhang, Si Gao +3
Video Panoptic Segmentation (VPS) is a challenging task that is extends from image panoptic segmentation.VPS aims to simultaneously classify, track, segment all objects in a video,…
Recyclable Semi-supervised Method Based on Multi-model Ensemble for Video Scene Parsing
Biao Wu, Shaoli Liu, Diankai Zhang +4
Pixel-level Scene Understanding is one of the fundamental problems in computer vision, which aims at recognizing object classes, masks and semantics of each pixel in the given imag…
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang +50
Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While num…
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Meisong Zheng +75
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…