Search Results for author: Shan Gao

Found 26 papers, 7 papers with code

CIM-NET: A Video Denoising Deep Neural Network Model Optimized for Computing-in-Memory Architectures

no code implementations23 May 2025 Shan Gao, Zhiqiang Wu, Yawen Niu, Xiaotao Li, Qingqing Xu

While deep neural network (DNN)-based video denoising has demonstrated significant performance, deploying state-of-the-art models on edge devices remains challenging due to stringent real-time and energy efficiency requirements.

Denoising Video Denoising

Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows

no code implementations5 Apr 2025 Xuechun Li, Shan Gao, Runyu Gao, Susu Xu

These results highlight the critical importance of modeling spatial heterogeneity in causal mechanisms for accurate disaster assessment, with direct implications for improving emergency response resource allocation.

Disaster Response Gaussian Processes

Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference

1 code implementation5 Apr 2025 Xuechun Li, Shan Gao, Susu Xu

These systems manifest in both static scenarios with instantaneous causal chains and temporal scenarios with evolving dynamics, complicating modeling efforts.

TextCrafter: Accurately Rendering Multiple Texts in Complex Visual Scenes

1 code implementation30 Mar 2025 Nikai Du, Zhennan Chen, Zhizhou Chen, Shan Gao, Xi Chen, Zhengkai Jiang, Jian Yang, Ying Tai

This paper explores the task of Complex Visual Text Generation (CVTG), which centers on generating intricate textual content distributed across diverse regions within visual images.

2k Image Generation +1

Segment Any-Quality Images with Generative Latent Space Enhancement

no code implementations CVPR 2025 Guangqian Guo, Yoong Guo, Xuehui Yu, Wenbo Li, Yaoxing Wang, Shan Gao

To address this, we propose GleSAM, which utilizes Generative Latent space Enhancement to boost robustness on low-quality images, thus enabling generalization across various image qualities.

Segmentation

Less is More: On the Importance of Data Quality for Unit Test Generation

no code implementations20 Feb 2025 Junwei Zhang, Xing Hu, Shan Gao, Xin Xia, David Lo, Shanping Li

To evaluate its effectiveness, we apply CleanTest on two widely-used test generation datasets, i. e., Methods2Test and Atlas.

Stability and List-Replicability for Agnostic Learners

no code implementations9 Jan 2025 Ari Blondal, Shan Gao, Hamed Hatami, Pooya Hatami

As part of the proof of this theorem, we strengthen the celebrated result of Bun et al. by showing that classes with infinite Littlestone dimension are not stably PAC learnable, even if we allow the stability parameter to depend on the excess error.

Binary Classification

APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments

1 code implementation13 Nov 2024 Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Heng Huang, Shan Gao, Jianfei Liu, Rui Li

Datasets play a pivotal role in training visual models, facilitating the development of abstract understandings of visual features through diverse image samples and multidimensional attributes.

SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection

no code implementations20 Aug 2024 Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao

Most Camouflaged Object Detection (COD) methods heavily rely on mask annotations, which are time-consuming and labor-intensive to acquire.

Knowledge Distillation object-detection +1

Just a Hint: Point-Supervised Camouflaged Object Detection

no code implementations20 Aug 2024 Huafeng Chen, Dian Shao, Guangqian Guo, Shan Gao

Camouflaged Object Detection (COD) demands models to expeditiously and accurately distinguish objects which conceal themselves seamlessly in the environment.

Contrastive Learning Object +2

Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection

1 code implementation24 Apr 2024 Elena Albu, Shan Gao, Pieter Stijnen, Frank Rademakers, Christel Janssens, Veerle Cossey, Yves Debaveye, Laure Wynants, Ben van Calster

We included data from 27478 admissions to the University Hospitals Leuven, covering 30862 catheter episodes (970 CLABSI, 1466 deaths and 28426 discharges) to build static and dynamic RF models for binary (CLABSI vs no CLABSI), multinomial (CLABSI, discharge, death or no event), survival (time to CLABSI) and competing risks (time to CLABSI, discharge or death) outcomes to predict the 7-day CLABSI risk.

Early detection of disease outbreaks and non-outbreaks using incidence data

no code implementations13 Apr 2024 Shan Gao, Amit K. Chakraborty, Russell Greiner, Mark A. Lewis, Hao Wang

In summary, we showed that there are statistical features that distinguish outbreak and non-outbreak sequences long before outbreaks occur.

Time Series Time Series Classification

An early warning indicator trained on stochastic disease-spreading models with different noises

1 code implementation24 Mar 2024 Amit K. Chakraborty, Shan Gao, Reza Miry, Pouria Ramazi, Russell Greiner, Mark A. Lewis, Hao Wang

The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies.

Navigate Time Series

ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation

1 code implementation CVPR 2024 Yan Di, Chenyangguang Zhang, Chaowei Wang, Ruida Zhang, Guangyao Zhai, Yanyan Li, Bowen Fu, Xiangyang Ji, Shan Gao

Finally we deform the retrieved shape in the deformation module to tightly fit the input object by harnessing part center guided neural cage deformation.

Object Retrieval +2

ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation

1 code implementation18 Nov 2023 Yan Di, Chenyangguang Zhang, Chaowei Wang, Ruida Zhang, Guangyao Zhai, Yanyan Li, Bowen Fu, Xiangyang Ji, Shan Gao

In this paper, we present ShapeMatcher, a unified self-supervised learning framework for joint shape canonicalization, segmentation, retrieval and deformation.

Object Retrieval +2

Direct source and early reflections localization using deep deconvolution network under reverberant environment

no code implementations10 Oct 2021 Shan Gao, Xihong Wu, Tianshu Qu

This paper proposes a deconvolution-based network (DCNN) model for DOA estimation of direct source and early reflections under reverberant scenarios.

Contrastive Learning for View Classification of Echocardiograms

no code implementations6 Aug 2021 Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal Bhatia, Bernhard Kainz, Arian Beqiri

Analysis of cardiac ultrasound images is commonly performed in routine clinical practice for quantification of cardiac function.

Classification Contrastive Learning

Multi-wavelength and neutrino emission from blazar PKS 1502+106

no code implementations8 Sep 2020 Xavier Rodrigues, Simone Garrappa, Shan Gao, Vaidehi S. Paliya, Anna Franckowiak, Walter Winter

We find two hadronic models that can describe the multi-wavelength emission during all three states: a leptohadronic model with a contribution from photo-hadronic processes to X-rays and gamma rays, and a proton synchrotron model, where the emission from keV to 10 GeV comes from proton synchrotron radiation.

High Energy Astrophysical Phenomena

A Graphical Social Topology Model for Multi-Object Tracking

no code implementations14 Feb 2017 Shan Gao, Xiaogang Chen, Qixiang Ye, Junliang Xing, Arjan Kuijper, Xiangyang Ji

Inspired with the social affinity property of moving objects, we propose a Graphical Social Topology (GST) model, which estimates the group dynamics by jointly modeling the group structure and the states of objects using a topological representation.

Multi-Object Tracking Object

Cannot find the paper you are looking for? You can Submit a new open access paper.