11 citations · 16 across the 17 of their papers we have counts for
18 papers
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…
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…
DrawVideo: Grounded and Faithful Multi-Shot Video Generation from Storyboard Keyframe Sketches
Chuanzhi Xu, Huiqi Liang, Bang Shi +7
Long video generation requires high-fidelity visual synthesis, coherent narrative organization, shot-level structure, and explicit user control. Existing text-to-video methods typi…
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…
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…
HyM-UNet: Synergizing Local Texture and Global Context via Hybrid CNN-Mamba Architecture for Medical Image Segmentation
Haodong Chen, Xianfei Han, Qwen
Accurate organ and lesion segmentation is a critical prerequisite for computer-aided diagnosis. Convolutional Neural Networks (CNNs), constrained by their local receptive fields, o…
FinCast: A Foundation Model for Financial Time-Series Forecasting
Zhuohang Zhu, Haodong Chen, Qiang Qu +1
Financial time-series forecasting is critical for maintaining economic stability, guiding informed policymaking, and promoting sustainable investment practices. However, it remains…
AMMNet: An Asymmetric Multi-Modal Network for Remote Sensing Semantic Segmentation
Hui Ye, Haodong Chen, Zeke Zexi Hu +2
Semantic segmentation in remote sensing (RS) has advanced significantly with the incorporation of multi-modal data, particularly the integration of RGB imagery and the Digital Surf…
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…
Learning Fine-Grained Geometry for Sparse-View Splatting via Cascade Depth Loss
Wenjun Lu, Haodong Chen, Anqi Yi +4
Novel view synthesis is a fundamental task in 3D computer vision that aims to reconstruct photorealistic images from novel viewpoints given a set of posed images. However, reconstr…
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…
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
Zhuohang Zhu, Haodong Chen, Qiang Qu +2
Effective stock price forecasting (estimating future prices) and prediction (estimating future price changes) are pivotal for investors, regulatory agencies, and policymakers. Thes…
A Survey on Event-driven 3D Reconstruction: Development under Different Categories
Chuanzhi Xu, Haoxian Zhou, Haodong Chen +2
Event cameras have gained increasing attention for 3D reconstruction due to their high temporal resolution, low latency, and high dynamic range. They capture per-pixel brightness c…
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…
Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels
Haodong Chen, Runnan Chen, Qiang Qu +4
Recent advancements in 3D Gaussian Splatting (3DGS) have substantially improved novel view synthesis, enabling high-quality reconstruction and real-time rendering. However, blurrin…
Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing
Hui Ye, Haodong Chen, Xiaoming Chen +1
Remote sensing (RS) involves the acquisition of data about objects or areas from a distance, primarily to monitor environmental changes, manage resources, and support planning and…
Less is More: Skim Transformer for Light Field Image Super-resolution
Zeke Zexi Hu, Haodong Chen, Hui Ye +4
A light field image captures scenes through its micro-lens array, providing a rich representation that encompasses spatial and angular information. While this richness comes at sig…
Dense Voxel 3D Reconstruction Using a Monocular Event Camera
Haodong Chen, Vera Chung, Li Tan +1
Event cameras are sensors inspired by biological systems that specialize in capturing changes in brightness. These emerging cameras offer many advantages over conventional frame-ba…