3 citations · 7 across the 9 of their papers we have counts for
9 papers
An End-to-End Real-World Camera Imaging Pipeline
Kepeng Xu, Zijia Ma, Li Xu +5
Recent advances in neural camera imaging pipelines have demonstrated notable progress. Nevertheless, the real-world imaging pipeline still faces challenges including the lack of jo…
Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer
Kepeng Xu, Li Xu, Gang He +2
Multiple complex degradations are coupled in low-quality video faces in the real world. Therefore, blind video face restoration is a highly challenging ill-posed problem, requiring…
Dual Inverse Degradation Network for Real-World SDRTV-to-HDRTV Conversion
Kepeng Xu, Li Xu, Gang He +4
In this study, we address the emerging necessity of converting Standard Dynamic Range Television (SDRTV) content into High Dynamic Range Television (HDRTV) in light of the limited…
SDRTV-to-HDRTV Conversion via Spatial-Temporal Feature Fusion
Kepeng Xu, Li Xu, Gang He +4
HDR(High Dynamic Range) video can reproduce realistic scenes more realistically, with a wider gamut and broader brightness range. HDR video resources are still scarce, and most vid…
SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping
Gang He, Kepeng Xu, Li Xu +4
In this work, we address the task of SDR videos to HDR videos(SDRTV-to-HDRTV). Previous approaches use global feature modulation for SDRTV-to-HDRTV. Feature modulation scales and s…
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping
Gang He, Shaoyi Long, Li Xu +5
Joint super-resolution and inverse tone-mapping (SR-ITM) aims to enhance the visual quality of videos that have quality deficiencies in resolution and dynamic range. This problem a…
Transcoded Video Restoration by Temporal Spatial Auxiliary Network
Li Xu, Gang He, Jinjia Zhou +4
In most video platforms, such as Youtube, and TikTok, the played videos usually have undergone multiple video encodings such as hardware encoding by recording devices, software enc…
The Multi-Modal Video Reasoning and Analyzing Competition
Haoran Peng, He Huang, Li Xu +15
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC) workshop in conjunction with ICCV 2021. This competition is composed of four differen…
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
Li Xu, He Huang, Jun Liu
Traffic event cognition and reasoning in videos is an important task that has a wide range of applications in intelligent transportation, assisted driving, and autonomous vehicles.…