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20182026
most citedAchieving Data Truthfulness and Privacy Preservation in Data Markets

49 citations · 162 across the 31 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

PixARG: Pixel-Asynchronous Retrieval-Augmented Diffusion for Fast and Realistic Image Generation

Zewei Xin, Qinya Li, Chaoyue Niu +1

While diffusion models achieve impressive image generation capabilities, they suffer from high computational costs, implausible artifacts, and limited adaptability to dynamic or pr…

cs.CV2026

Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding

Xuezhen Tu, Jingyu Wu, Fangyu Kang +4

Spatio-Temporal Video Grounding requires jointly localizing target objects across both temporal and spatial dimensions based on natural language queries, posing fundamental challen…

cs.CV2026

FHAvatar: Fast and High-Fidelity Reconstruction of Face-and-Hair Composable 3D Head Avatar from Few Casual Captures

Yujie Sun, Zhuoqiang Cai, Chaoyue Niu +4

We present FHAvatar, a novel framework for reconstructing 3D Gaussian avatars with composable face and hair components from an arbitrary number of views. Unlike previous approaches…

cs.CV2026

VIAFormer: Voxel-Image Alignment Transformer for High-Fidelity Voxel Refinement

Tiancheng Fang, Bowen Pan, Lingxi Chen +4

We propose VIAFormer, a Voxel-Image Alignment Transformer model designed for Multi-view Conditioned Voxel Refinement--the task of repairing incomplete noisy voxels using calibrated…

cs.CV2024

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model

Zewei Xin, Qinya Li, Chaoyue Niu +2

Large text-to-image models demonstrate impressive generation capabilities; however, their substantial size necessitates expensive cloud servers for deployment. Conversely, light-we…

cs.CV2022

One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design

Yikai Yan, Chaoyue Niu, Fan Wu +4

The mainstream workflow of image recognition applications is first training one global model on the cloud for a wide range of classes and then serving numerous clients, each with h…