Search Results for author: YuHan Wang

Found 15 papers, 7 papers with code

LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting

no code implementations25 Mar 2024 Qinyao Luo, Silu He, Xing Han, YuHan Wang, Haifeng Li

Accurate traffic forecasting is a fundamental problem in intelligent transportation systems and learning long-range traffic representations with key information through spatiotemporal graph neural networks (STGNNs) is a basic assumption of current traffic flow prediction models.

Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion Model

1 code implementation13 Mar 2024 Ruibin Zhang, Donglai Xue, YuHan Wang, Ruixu Geng, Fei Gao

Millimeter wave (mmWave) radars have attracted significant attention from both academia and industry due to their capability to operate in extreme weather conditions.

Autonomous Navigation

Symbol as Points: Panoptic Symbol Spotting via Point-based Representation

1 code implementation19 Jan 2024 Wenlong Liu, Tianyu Yang, YuHan Wang, QiZhi Yu, Lei Zhang

Finally, we propose a KNN interpolation mechanism for the mask attention module of the spotting head to better handle primitive mask downsampling, which is primitive-level in contrast to pixel-level for the image.

Point Cloud Segmentation Vector Graphics

Neural Video Fields Editing

no code implementations12 Dec 2023 Shuzhou Yang, Chong Mou, Jiwen Yu, YuHan Wang, Xiandong Meng, Jian Zhang

Specifically, we construct a neural video field, powered by tri-plane and sparse grid, to enable encoding long videos with hundreds of frames in a memory-efficient manner.

Video Editing

MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention

no code implementations28 Sep 2023 Ruolan Wu, Chun Yu, Xiaole Pan, Yujia Liu, Ningning Zhang, Yue Fu, YuHan Wang, Zhi Zheng, Li Chen, Qiaolei Jiang, Xuhai Xu, Yuanchun Shi

We first conducted a Wizard-of-Oz study (N=12) and an interview study (N=10) to summarize the mental states behind problematic smartphone use: boredom, stress, and inertia.

Persuasion Strategies

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

1 code implementation20 Aug 2023 Zeyu Han, YuHan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen

To obtain high-quality positron emission tomography (PET) scans while reducing radiation exposure to the human body, various approaches have been proposed to reconstruct standard-dose PET (SPET) images from low-dose PET (LPET) images.

DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement

no code implementations18 Aug 2023 Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang, Jiwen Yu, YuHan Wang, Jian Zhang

Specifically, we adopt a naive unsupervised enhancement algorithm to realize preliminary restoration and design two zero-shot plug-and-play modules based on diffusion model to improve generalization and effectiveness.

Denoising Low-Light Image Enhancement

3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image

no code implementations8 Jul 2021 Haibo Qi, YuHan Wang, Xinyu Liu

In this paper, a 3D-RegNet-based neural network is proposed for diagnosing the physical condition of patients with coronavirus (Covid-19) infection.

COVID-19 Diagnosis

HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

1 code implementation18 Jun 2021 YuHan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji

In this work, we propose a high fidelity face swapping method, called HifiFace, which can well preserve the face shape of the source face and generate photo-realistic results.

3D Face Reconstruction Face Recognition +2

In situ Performance of the Low Frequency Arrayfor Advanced ACTPol

no code implementations7 Jan 2021 Yaqiong Li, Jason E. Austermann, James A. Beall, Sarah Marie Bruno, Steve K. Choi, Nicholas F. Cothard, Kevin T. Crowley, Shannon M. Duff, Shuay-Pwu Patty Ho, Joseph E. Golec, Gene C. Hilton, Matthew Hasselfield, Johannes Hubmay, Brian J. Koopman, Marius Lungu, Jeff McMahon, Michael D. Niemack, LymanA. Page, Maria Salatino, Sara M. Simon, Suzanne T. Staggs, Jason R. Stevens, Joel N. Ullom, Eve M. Vavagiakis, YuHan Wang, Edward J. Wollack, Zhilei Xu

The Advanced Atacama Cosmology Telescope Polarimeter (AdvACT) \cite{thornton} is an upgrade for the Atacama Cosmology Telescope using Transition Edge Sensor (TES) detector arrays to measure cosmic microwave background (CMB) temperature and polarization anisotropies in multiple frequencies.

Instrumentation and Methods for Astrophysics

Effective and Sparse Count-Sketch via k-means clustering

no code implementations24 Nov 2020 YuHan Wang, Zijian Lei, Liang Lan

This data-oblivious matrix sketching method could produce a bad sketched matrix which will result in low accuracy for subsequent machine learning tasks (e. g. classification); (2) For highly sparse input data, count-sketch could produce a dense sketched data matrix.

BIG-bench Machine Learning Clustering

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

1 code implementation CVPR 2020 Yuge Huang, YuHan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang

As an emerging topic in face recognition, designing margin-based loss functions can increase the feature margin between different classes for enhanced discriminability.

Ranked #13 on Face Verification on IJB-C (TAR @ FAR=1e-4 metric)

Face Recognition Face Verification

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