2 citations · 2 across the 20 of their papers we have counts for
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DefaultShift: Auditing Semantic Default Shift in Accelerated Text-to-Image Models
Xuanhua Yin, Chuanzhi Xu, Shunqi Mao +2
Few-step text-to-image models increasingly replace slower generators, yet acceleration can silently change distributions over unspecified attributes even when individual outputs re…
Calibrate What You SHIP: Post-Selection Risk Control for Verifier-Guided Text-to-Image Generation
Xuanhua Yin, Shunqi Mao, Wei Guo +2
Verifier-guided text-to-image systems increasingly use test-time search to select, refine, or stop among multiple candidates, yet release thresholds are often calibrated on individ…
Learning Color Grading, No Photo Sharing: Federated Aesthetic Preference Learning for Personalized Image Enhancement
Chuanzhi Xu, Ziyuan Tao, Jean Julien KNell +5
Personalized image enhancement should reflect individual aesthetic taste, yet learning such preferences commonly depends on private photos and ratings that are unsuitable for centr…
SciFigAlign: Scoring Scientific Figures by Fine-tuned Alignment of Visuals with Manuscript Evidence
Chuanzhi Xu, Zihan Deng, Huiqi Liang +4
Scientific figure assessment in peer review differs fundamentally from general image quality evaluation: a figure must be visually legible, faithfully support the manuscript's clai…
SciFigQual-Bench: A Benchmark for Scientific Figure Quality Assessment with Full-Manuscript Context
Zihan Deng, Chuanzhi Xu, Huiqi Liang +4
Scientific figure quality is bound to the manuscript: a crop can be visually clear and still contradict its caption or the paragraph that cites it. Most image quality assessment an…
EvLIR: Learning Illumination Residuals from Ordered Events for Low-Light Image Enhancement
Haoxian Zhou, Chuanzhi Xu, Langyi Chen +5
Low-light image enhancement is severely ill-posed when the input frame contains missing structure, saturated noise, and weak local contrast. Event cameras provide asynchronous brig…
SAFE-DiT: Semantics-Aware Fast-path Execution for High-Resolution Diffusion Transformers
Xuanhua Yin, Yuxuan Jia, Chuanzhi Xu +1
High-resolution Diffusion Transformer (DiT) inference contains substantial spatial redundancy, but many spatially adaptive implementations encode regional computation as attention…
FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics
Langyi Chen, Chuanzhi Xu, Haoxian Zhou +6
Event cameras asynchronously report brightness changes with microsecond-level temporal resolution, but real event data remain difficult to collect at scale because specialized sens…
Aes3D: Aesthetic Assessment in 3D Gaussian Splatting
Chuanzhi Xu, Boyu Wei, Haoxian Zhou +5
As 3D Gaussian Splatting (3DGS) gains attention in immersive media and digital content creation, assessing the aesthetics of 3D scenes becomes important in helping creators build m…
V-Nutri: Dish-Level Nutrition Estimation from Egocentric Cooking Videos
Chengkun Yue, Chuanzhi Xu, Jiangpeng He
Nutrition estimation of meals from visual data is an important problem for dietary monitoring and computational health, but existing approaches largely rely on single images of the…
CrossWeaver: Cross-modal Weaving for Arbitrary-Modality Semantic Segmentation
Zelin Zhang, Kedi Li, Huiqi Liang +3
Multimodal semantic segmentation has shown great potential in leveraging complementary information across diverse sensing modalities. However, existing approaches often rely on car…
AccelAes: Accelerating Diffusion Transformers for Training-Free Aesthetic-Enhanced Image Generation
Xuanhua Yin, Chuanzhi Xu, Haoxian Zhou +2
Diffusion Transformers (DiTs) are a dominant backbone for high-fidelity text-to-image generation due to strong scalability and alignment at high resolutions. However, quadratic sel…
CollabOD: Collaborative Multi-Backbone with Cross-scale Vision for UAV Small Object Detection
Xuecheng Bai, Yuxiang Wang, Chuanzhi Xu +3
Small object detection in unmanned aerial vehicle (UAV) imagery is challenging because high-altitude viewpoints produce severe scale variation, weak structural cues, and tight comp…
FedVideoMAE: Efficient Federated Video Moderation with Differential Privacy and Secure Aggregation
Ziyuan Tao, Chuanzhi Xu, Sandaru Jayawardana +4
Short-form video moderation is increasingly pushed toward edge and privacy-sensitive settings, where users may intend videos for a limited audience, such as friends or private grou…
Exploiting Spatiotemporal Properties for Efficient Event-Driven Human Pose Estimation
Haoxian Zhou, Chuanzhi Xu, Langyi Chen +4
Human pose estimation focuses on predicting body keypoints to analyze human motion. Currently, most pose estimation tasks rely on conventional RGB cameras. In contrast, event camer…
Ultralight Polarity-Split Neuromorphic SNN for Event-Stream Super-Resolution
Chuanzhi Xu, Haoxian Zhou, Langyi Chen +2
Event cameras offer unparalleled advantages such as high temporal resolution, low latency, and high dynamic range. However, their limited spatial resolution poses challenges for fi…
DRWKV: Focusing on Object Edges for Low-Light Image Enhancement
Xuecheng Bai, Yuxiang Wang, Boyu Hu +5
Low-light image enhancement remains a challenging task, particularly in preserving object edge continuity and fine structural details under extreme illumination degradation. In thi…
MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection
Yuxiang Wang, Xuecheng Bai, Chuanzhi Xu +2
Small-object detection in Unmanned Aerial Vehicle (UAV) imagery requires preserving weak local evidence while using broader context to separate tiny foreground targets from clutter…
A Survey of 3D Reconstruction with Event Cameras
Chuanzhi Xu, Haoxian Zhou, Langyi Chen +7
Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction, uniquely capable of asynchronously capturing per-pixel brightness changes. Compared to traditio…
Towards End-to-End Neuromorphic Event-based 3D Object Reconstruction Without Physical Priors
Chuanzhi Xu, Langyi Chen, Haodong Chen +2
Neuromorphic cameras, also known as event cameras, are asynchronous brightness-change sensors that can capture extremely fast motion without suffering from motion blur, making them…