P
Peilin Chen
Researcher at City University of Hong Kong
Publications - 5
Citations - 26
Peilin Chen is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 1, co-authored 2 publications receiving 2 citations.
Papers
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Journal ArticleDOI
Compressed Domain Deep Video Super-Resolution
TL;DR: In this article, a guided spatial feature transform (GSFT) layer is proposed to modulate features of the prior with the guidance of the video information, making the prior features more fine-grained and content-adaptive.
Proceedings ArticleDOI
When Bitstream Prior Meets Deep Prior: Compressed Video Super-resolution with Learning from Decoding
TL;DR: This paper proposes a motion vector guided multi-scale local attention module that explicitly exploits the temporal dependency and suppresses coding artifacts with substantially economized computational complexity and offers competitive performance compared to the sequential combinations of the state-of-the-art methods for compressed video artifacts removal and SR.
Proceedings ArticleDOI
Occupancy Map Guided Attributes Deblocking for Video-based Point Cloud Compression
Peilin Chen,Shiqi Wang,Zhu Li +2 more
TL;DR: In this paper , a deep learning based attribute map enhancement method was proposed by fully leveraging the guidance of the occupancy map in local feature modification and non-local attention for capturing long-range spatial correlations.
Journal ArticleDOI
Geometric Prior Based Deep Human Point Cloud Geometry Compression
TL;DR: In this paper , the human geometric prior is used to provide topological constraints as geometry initialization, allowing adaptive adjustments with a compact parameter set that could be represented with only a few bits.