Xiaobin Hu

About Xiaobin Hu

Xiaobin Hu, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Deep learning, Computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection

ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models

PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation

Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification

SR-RKAC: Improving Single Image Defocus Deblurring

Automated segmentation of the human supraclavicular fat depot via deep neural network in water-fat separated magnetic resonance images

The liver tumor segmentation benchmark (lits)

Xiaobin Hu Information

University

Position

(TUM)

Citations(all)

3376

Citations(since 2020)

3318

Cited By

725

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

21

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Xiaobin Hu Skills & Research Interests

Deep learning

Computer vision

Top articles of Xiaobin Hu

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection

arXiv preprint arXiv:2403.11561

2024/3/18

ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models

arXiv preprint arXiv:2403.11289

2024/3/17

PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models

arXiv preprint arXiv:2403.06403

2024/3/11

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation

arXiv preprint arXiv:2403.06168

2024/3/10

Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification

arXiv preprint arXiv:2312.04189

2023/12/7

SR-RKAC: Improving Single Image Defocus Deblurring

arXiv preprint arXiv:2307.16242

2023/7/30

Automated segmentation of the human supraclavicular fat depot via deep neural network in water-fat separated magnetic resonance images

Quantitative Imaging in Medicine and Surgery

2023/7/7

Application of nnU-Net for automatic segmentation of lung lesions on CT Images and its implication for radiomic models

Journal of clinical medicine

2022/12/9

Xiaobin Hu
Xiaobin Hu

H-Index: 8

Highly accurate dichotomous image segmentation

2022/10/23

Morphological residual convolutional neural network (M-RCNN) for intelligent recognition of wear particles from artificial joints

Friction

2022/4

High-resolution Iterative Feedback Network for Camouflaged Object Detection

AAAI 2023

2022/3/22

AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis

MICCAI 2022

2022

Xiaobin Hu
Xiaobin Hu

H-Index: 8

Face Restoration via Plug-and-Play 3D Facial Priors

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021/10/27

Feedback graph attention convolutional network for MR images enhancement by exploring self-similarity features

2021/8/25

Pyramid Architecture Search for Real-time Image Deblurring

International Conference on Computer Vision (ICCV 2021)

2021/7/23

Ultra-high-definition image dehazing via multi-guided bilateral learning

2021

SRGAT: Single image super-resolution with graph attention network

IEEE Transactions on Image Processing

2021/5/7

Weakly supervised deep learning for determining the prognostic value of 18 F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type

European Journal of Nuclear Medicine and Molecular Imaging

2021/2/20

Deep Learning for Medical Image Analysis

2023/11/23

See List of Professors in Xiaobin Hu University(Technische Universität München)

Co-Authors

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