1 citations · 2 across the 11 of their papers we have counts for
11 papers
Allegory of the Cave: Measurement-Grounded Vision-Language Learning
Kepeng Xu, Li Xu, Gang He +1
Vision-language models typically reason over post-ISP RGB images, although RGB rendering can clip, suppress, or quantize sensor evidence before inference. We study whether groundin…
NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results
Wenbin Zou, Tianyi Liu, Kejun Wu +37
This paper reports on the NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration (BSCVR). The challenge aims to advance research on recovering visually coherent videos from…
Nipping the Drift in the Bud: Retrospective Rectification for Robust Vision-Language Navigation
Gang He, Zhenyang Liu, Kepeng Xu +5
Vision-Language Navigation (VLN) requires embodied agents to interpret natural language instructions and navigate through complex continuous 3D environments. However, the dominant…
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
Wei Chen, Zhao Zhang, Meng Yuan +2
In this paper, we address the task of targeted sentiment analysis (TSA), which involves two sub-tasks, i.e., identifying specific aspects from reviews and determining their corresp…
RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learning
Li Xu, Siqi Wang, Kepeng Xu +4
High-Dynamic-Range Wide-Color-Gamut (HDR-WCG) technology is becoming increasingly widespread, driving a growing need for converting Standard Dynamic Range (SDR) content to HDR. Exi…
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 Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversion
Gang He, Kepeng Xu, Li Xu +3
The rise of HDR-WCG display devices has highlighted the need to convert SDRTV to HDRTV, as most video sources are still in SDR. Existing methods primarily focus on designing neural…
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…