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罗飞

-
硕士生导师
- 主要任职:计算机科学系副主任
- 性别:男
- 在职信息:在职
- 所在单位:计算机学院
- 学科:
计算机科学与技术其他专业
- 办公地点:C202
- 联系方式:QQ:780656
实验室主页 https://dapecker.whu.edu.cn/
- 电子邮箱:89c6327e23b11425f4e9db83bbd68afb758c1866ad68fa6be6fef06f77294955643e06ac0b28b2fcfe1d41078033adb84de1e14bb1d11f9735bafa824dd852ab6d04c12e394c57934d5e10c3fdd5e1f2f92518040ce96d990e2dbcaa95225351c74969edba05898290752ce49e31ab63b9c659a34e5ada249cd147c196979c04
- 2023曾获荣誉当选:湖北省科技进步奖二等奖
- 2011曾获荣誉当选:湖北省自然科学奖三等奖
访问量:
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[1].
HumanIR-MGI: human inverse rendering via jointly optimizing geometry, material, and illumination.
The Visual Computer.
-
[2].
EE-Head: emotion estimation for precise facial expression in NeRF head avatars.
The Visual Computer.
-
[3].
iG-6DoF: Model-free 6DoF Pose Estimation for Unseen Object via Iterative 3D Gaussian Splatting. CVPR 2025 (CCF-A).
-
[4].
MMAR-Net: A Multi-Stride and Multi-Resolution Affine Registration Network for CT Images(SCI Q1).
Big Data Mining and Analytics.
7
(4).
2024.
-
[5].
EnlightenDepth: a Novel Self-supervised Monocular Depth Estimation with Low-light Enhancement in Endoscopy, BIBM2024, CCF-B.
-
[6].
MFSegDiff: A Multi-Frequency Diffusion Model for Medical Image Segmentation. (CCF-B).
BIBM2024.
-
[7].
HS-Surf: A Novel High-Frequency Surface Shell Radiance Field to Improve Large-Scale Scene Rendering. (ACM MM 2024, CCF-A).
-
[8].
Diffusion-FOF: Single-view Clothed Human Reconstruction via Diffusion-based Fourier Occupancy Field.
CVPR2024,CCF A.
-
[9].
DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos.
(AAAI 2024, CCF A).
-
[10].
Multi-Scale Implicit Surfaces Reconstruction for Outdoor Scenes.
CVM2024 (CCF C).
-
[11].
DGECN++: A Depth-Guided Edge Convolutional Network for End-to-end 6D Pose Estimation via Attention Mechanism.
IEEE Transactions on Circuits and Systems for Video Technology(Q1 top).
-
[12].
RHViT: A Robust Hierarchical Transformer for 3D Multimodal Brain Tumor Segmentation Using Biased Masked Image Modeling Pre-training.
2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023) CCF B.
-
[13].
NeTO:Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing.
ICCV2023 (CCF A).
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[14].
Learning Long-range Information with Dual-Scale Transformers for Indoor Scene Completion.
ICCV2023 (CCF A).
-
[15].
Specular Highlight Detection and Removal Based on Coarse-to-fine Dynamic Association Learning.
CGI2023(CCF C).
-
[16].
Monocular Human Depth Estimation with 3D Motion Flow and Surface Normals.
The Visual Computer.
-
[17].
MMAR-net: a Multi-stride and Multi-resolution Affine Registration network for CT images.
APBC 2022 (CCF C).
-
[18].
Self-supervised Monocular Depth Estimation by Digging into Uncertainty Quantification.
JCST (CCF B).
2023.
-
[19].
ViFUNet: a Vision Flash based UNet for lung nodules segmentation task.
BIBM(CCF B).
2022.
-
[20].
Sparse RGB-D images create a real thing: A flexible voxel based 3D reconstruction pipeline for single object.
Visual Informatics (SCI).
2022.
-
[21].
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation.
CVPR 2022 (CCF A).
-
[22].
DISCRIMINATOR MODIFICATION IN GAN FOR TEXT-TO-IMAGE GENERATION.
ICME 2021 (CCF B).
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[23].
PHRASEGAN: PHRASE-BOOST GENERATIVE ADVERSARIAL NETWORK FOR TEXT-TO-IMAGE GENERATION.
ICME 2021 (CCF B).
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[24].
Self-supervised Coarse-to- ne Monocular Depth Estimation Using a Lightweight Attention Module.
Computational Visual Media (CCF C).
-
[25].
HAUNet-3D: a Novel Hierarchical Attention 3D UNet for Lung Nodule Segmentation.
IEEE BIBM 2021.
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[26].
Photorealistic Style Transfer via Adaptive Filtering and Channel Separation.
ACM MM2022 (CCF A).
-
[27].
A Comprehensive Pipeline for Complex Text-to-Image Synthesis.
Journal of Computer Science & Technology (JCST) (CVM 2020).
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[28].
Adaptive Depth Estimation for Pyramid Multi-View Stereo.
Computers & Graphics (CAD & Graphics 2021).
2021.
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[29].
Self-supervised Monocular Depth Estimation Based on Image Texture Detail Enhancement.
The Visual Computer (TVC) (CGI 2021).
2021.
-
[30].
Stable Depth Estimation within Consecutive Video Frames.
CGI2021.
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[31].
A systematic evaluation of copy number alterations detection methods on real SNP array and deep sequencing data.
BMC Bioinformatics 2019 20(Suppl 25):692.
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[32].
Illumination Animating and Editing in a Single Picture Using Scene Structure Estimation.
Computers & Graphics (CAD/Graphics 2019).
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[33].
Joint bilateral propagation upsampling for unstructured multi-view stereo.
the visual computer.
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[34].
罗飞
Discovering conditional co-regulated protein complexes by integrating diverse data sources.
BMC SYSTEMS BIOLOGY.
4.
2010.
-
[35].
罗飞
Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles.
BMC BIOINFORMATICS.
14.
2013.
-
[36].
罗飞
A novel clustering method for analysis of gene microarray expression data.
DATA MINING FOR BIOMEDICAL APPLICATIONS, PROCEEDINGS.
3916.
2006.
-
[37].
罗飞
Predicting Binding-Peptide of HLA-I on Unknown Alleles by Integrating Sequence Information and Energies of Contact Residues.
EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS.
304
(1865-0929).
2012.
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[38].
罗飞
A novel clustering method for analysis of gene microarray expression data.
DATA MINING FOR BIOMEDICAL APPLICATIONS, PROCEEDINGS.
3916
(0302-9743).
2006.
-
[39].
罗飞
Optimal genes selection with a new multi-objective evolutional algorithm hybriding NSGA-II with EDA.
BMEI 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOL 1.
(1948-2914).
2008.
-
[40].
罗飞
The First-Order Derivative of Atmospheric Electronic Field in an Optimal Time Window Improves the Accuracy of Lightning Warning.
PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015).
47
(2352-5401).
2016.
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[41].
罗飞
Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles.
BMC BIOINFORMATICS.
14
(1471-2105).
2013.
-
[42].
罗飞
Clustering analysis of microarray gene expression data with new clustering ensemble method.
PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS.
2007.