Xiaobin Hu

According to our database, Xiaobin Hu authored at least 38 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection.

Liren He, Zhengkai Jiang, Jinlong Peng, Liang Liu, Qiangang Du, Xiaobin Hu, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang

CoRR, 2024

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

Siyuan Huang, Iaroslav Ponomarenko, Zhengkai Jiang, Xiaoqi Li, Xiaobin Hu, Peng Gao, Hongsheng Li, Hao Dong

CoRR, 2024

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

Qingdong He, Jinlong Peng, Zhengkai Jiang, Xiaobin Hu, Jiangning Zhang, Qiang Nie, Yabiao Wang, Chengjie Wang

CoRR, 2024

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation.

Xiaobin Hu, Xu Peng, Donghao Luo, Xiaozhong Ji, Jinlong Peng, Zhengkai Jiang, Jiangning Zhang, Taisong Jin, Chengjie Wang, Rongrong Ji

CoRR, 2024

MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model.

Sen Wang, Jiangning Zhang, Weijian Cao, Xiaobin Hu, Moran Li, Xiaozhong Ji, Xin Tan, Mengtian Li, Zhifeng Xie, Chengjie Wang, Lizhuang Ma

CoRR, 2024

2023

Hierarchical attention vision transformer for fine-grained visual classification.

Xiaobin Hu, Shining Zhu, Taile Peng

J. Vis. Commun. Image Represent., March, 2023

Generative Adversarial Networks for Video Summarization Based on Key-frame Selection.

Xiayun Hu, Xiaobin Hu, Jingxian Li, Kun You

Inf. Technol. Control., March, 2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

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

Peng Tang, Xintong Yan, Yang Nan, Xiaobin Hu, Bjoern H. Menze, Sebastian Krammer, Tobias Lasser

CoRR, 2023

SR-R²KAC: Improving Single Image Defocus Deblurring.

Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser

CoRR, 2023

High-Resolution Iterative Feedback Network for Camouflaged Object Detection.

Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Learning for Medical Image Analysis (Deep Learning für die medizinische Bildanalyse)

Xiaobin Hu

PhD thesis, 2022

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

Xiaobin Hu, Wenqi Ren, Jiaolong Yang, Xiaochun Cao, David Wipf, Bjoern H. Menze, Xin Tong, Hongbin Zha

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models.

Matteo Ferrante, Lisa Rinaldi, Francesca Botta, Xiaobin Hu, Andreas Dolp, Marta Minotti, Francesca De Piano, Gianluigi Funicelli, Stefania Volpe, Federica Bellerba, Paolo De Marco, Sara Raimondi, Stefania Rizzo, Kuangyu Shi, Marta Cremonesi, Barbara Alicja Jereczek-Fossa, Lorenzo Spaggiari, Filippo De Marinis, Roberto Orecchia, Daniela Origgi

CoRR, 2022

High-resolution Iterative Feedback Network for Camouflaged Object Detection.

Xiaobin Hu, Deng-Ping Fan, Xuebin Qin, Hang Dai, Wenqi Ren, Ying Tai, Chengjie Wang, Ling Shao

CoRR, 2022

A robust double-parallel extreme learning machine based on an improved M-estimation algorithm.

Linlin Zha, Kai Ma, Guoqiang Li, Qi Fang, Xiaobin Hu

Adv. Eng. Informatics, 2022

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

Xiaobin Hu, Ruolin Shen, Donghao Luo, Ying Tai, Chengjie Wang, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Highly Accurate Dichotomous Image Segmentation.

Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SRGAT: Single Image Super-Resolution With Graph Attention Network.

Yanyang Yan, Wenqi Ren, Xiaobin Hu, Kun Li, Haifeng Shen, Xiaochun Cao

IEEE Trans. Image Process., 2021

Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Images.

Xiaobin Hu

CoRR, 2021

A generative adversarial neural network model for industrial boiler data repair.

Xiaobin Hu, Guoqiang Li, Peifeng Niu, Jianmei Wang, Linlin Zha

Appl. Soft Comput., 2021

Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features.

Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Amirhossein Bayat, Yu Zhao, Bjoern H. Menze

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Pyramid Architecture Search for Real-Time Image Deblurring.

Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning.

Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, Xiuyi Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images.

Xiaobin Hu, Rui Guo, Jieneng Chen, Hongwei Li, Diana Waldmannstetter, Yu Zhao, Biao Li, Kuangyu Shi, Bjoern H. Menze

IEEE J. Biomed. Health Informatics, 2020

Learning Unsupervised Video Summarization with Semantic-Consistent Network.

Ye Zhao, Xiaobin Hu, Xueliang Liu, Chunxiao Fan

Proceedings of the Neural Computing for Advanced Applications, 2020

Face Super-Resolution Guided by 3D Facial Priors.

Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern H. Menze, Wei Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.

Yu Zhao, Hongwei Li, Shaohua Wan, Anjany Sekuboyina, Xiaobin Hu, Giles Tetteh, Marie Piraud, Bjoern H. Menze

IEEE J. Biomed. Health Informatics, 2019

Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy.

Xinxin Zhang, Peifeng Niu, Xiaobin Hu, Yunpeng Ma, Guoqiang Li

Neurocomputing, 2019

Toward a Brain-Inspired System: Deep Recurrent Reinforcement Learning for a Simulated Self-Driving Agent.

Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu

Frontiers Neurorobotics, 2019

Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent.

Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu

CoRR, 2019

A Dynamic Rectified Linear Activation Units.

Xiaobin Hu, Peifeng Niu, Jianmei Wang, Xinxin Zhang

IEEE Access, 2019

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification.

Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function.

Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Marie Piraud

CoRR, 2018

Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function.

Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Bjoern H. Menze, Marie Piraud

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2011

Design of multi-channel signal acquisition module for separate storage.

Huixin Zhang, Xiaobin Hu, Suhua Liu, Haiguang Yang

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2010

Application of inertia ellipse in code marker matching.

Fang Xu, Weiwei Jiang, Qing He, Xiaobin Hu

Geo spatial Inf. Sci., 2010

2009

An Efficient Antenna Selection Algorithm for MIMO Systems.

Enchang Sun, Yanhua Zhang, Xiaobin Hu

Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009