Search Results for author: Bin Huang

Found 20 papers, 10 papers with code

Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction

no code implementations1 Jul 2024 Bin Huang, Xubiao Liu, Lei Fang, Qiegen Liu, Bingxuan Li

In this research, we propose a diffusion transformer model (DTM) guided by joint compact prior (JCP) to enhance the reconstruction quality of low-dose PET imaging.

Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction

no code implementations27 May 2024 WenHao Zhang, Bin Huang, Shuyue Chen, Xiaoling Xu, Weiwen Wu, Qiegen Liu

During the prior learning stage, the projection data is first transformed into multiple partitioned Hankel matrices.

MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction

no code implementations9 May 2024 Pinhuang Tan, Mengxiao Geng, Jingya Lu, Liu Shi, Bin Huang, Qiegen Liu

Through precise adjustments in diffusion model, it is capable of extracting diverse noise distribution, furthering the understanding of the overall structure of images, and aiding the fully sampled model in recovering image information more effec-tively.

Computed Tomography (CT) Image Reconstruction

Detection of circular permutations by Protein Language Models

1 code implementation23 Apr 2024 Yue Hu, Bin Huang

The protein language model can help us extract structural information from sequences.

Protein Language Model

Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach

no code implementations31 Dec 2023 Shun Liu, Kexin Wu, Chufeng Jiang, Bin Huang, Danqing Ma

In the realm of cryptocurrency, the prediction of Bitcoin prices has garnered substantial attention due to its potential impact on financial markets and investment strategies.

Time Series Time Series Forecasting

VTimeLLM: Empower LLM to Grasp Video Moments

1 code implementation CVPR 2024 Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu

Large language models (LLMs) have shown remarkable text understanding capabilities, which have been extended as Video LLMs to handle video data for comprehending visual details.

Dense Video Captioning VCGBench-Diverse +6

Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction

1 code implementation30 Aug 2023 Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu

Diffusion models have emerged as potential tools to tackle the challenge of sparse-view CT reconstruction, displaying superior performance compared to conventional methods.

Mask Hierarchical Features For Self-Supervised Learning

no code implementations1 Apr 2023 Fenggang Liu, Yangguang Li, Feng Liang, Jilan Xu, Bin Huang, Jing Shao

We mask part of patches in the representation space and then utilize sparse visible patches to reconstruct high semantic image representation.

object-detection Object Detection +1

Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline

1 code implementation29 Jan 2023 Yangguang Li, Bin Huang, Zeren Chen, Yufeng Cui, Feng Liang, Mingzhu Shen, Fenggang Liu, Enze Xie, Lu Sheng, Wanli Ouyang, Jing Shao

Our Fast-BEV consists of five parts, We novelly propose (1) a lightweight deployment-friendly view transformation which fast transfers 2D image feature to 3D voxel space, (2) an multi-scale image encoder which leverages multi-scale information for better performance, (3) an efficient BEV encoder which is particularly designed to speed up on-vehicle inference.

Data Augmentation

Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception

1 code implementation19 Jan 2023 Bin Huang, Yangguang Li, Enze Xie, Feng Liang, Luya Wang, Mingzhu Shen, Fenggang Liu, Tianqi Wang, Ping Luo, Jing Shao

Recently, the pure camera-based Bird's-Eye-View (BEV) perception removes expensive Lidar sensors, making it a feasible solution for economical autonomous driving.

Autonomous Driving Data Augmentation

One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging

2 code implementations7 Dec 2022 Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu

Therefore, we propose a fully unsupervised one sample diffusion model (OSDM)in projection domain for low-dose CT reconstruction.

Computed Tomography (CT)

GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

1 code implementation21 Apr 2021 Yongchao Liu, Houyi Li, Guowei Zhang, Xintan Zeng, Yongyong Li, Bin Huang, Peng Zhang, Zhao Li, Xiaowei Zhu, Changhua He, WenGuang Chen

Herein, we present GraphTheta, the first distributed and scalable graph learning system built upon vertex-centric distributed graph processing with neural network operators implemented as user-defined functions.

Graph Learning Graph Neural Network

Global Strong Solutions to the Compressible Magnetohydrodynamic Equations with Slip Boundary Conditions in 3D Bounded Domains

no code implementations15 Feb 2021 Yazhou Chen, Bin Huang, Xiaoding Shi

We deal with the barotropic compressible magnetohydrodynamic equations in three-dimensional (3D) bounded domain with slip boundary condition and vacuum.

Analysis of PDEs

FoxNet: A Multi-face Alignment Method

no code implementations22 Apr 2019 Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Xinghui Zhu, Weiyang Wang

Multi-face alignment aims to identify geometry structures of multiple faces in an image, and its performance is essential for the many practical tasks, such as face recognition, face tracking, and face animation.

Clustering Face Alignment +1

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