Xuming He

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Songyang ZhangShanghai AI LaboratoryDirección de correo verificada de pjlab.org.cn
Nick BarnesProfessor, Australian National UniversityDirección de correo verificada de anu.edu.au
Shipeng YanBytedanceDirección de correo verificada de shanghaitech.edu.cn
Mathieu SalzmannEPFLDirección de correo verificada de epfl.ch
Chuyu ZhangShanghaiTech UniversityDirección de correo verificada de shanghaitech.edu.cn
Richard ZemelProfessor of Computer Science, University of TorontoDirección de correo verificada de cs.toronto.edu
Yongfei LiuBytedanceDirección de correo verificada de bytedance.com
Miaomiao LiuAustralian National UniversityDirección de correo verificada de anu.edu.au
Rongjie LiPhD student, ShanghaiTech UniversityDirección de correo verificada de shanghaitech.edu.cn
Bo WanKU LeuvenDirección de correo verificada de student.kuleuven.be
Lexing XieProfessor at Australian National UniversityDirección de correo verificada de anu.edu.au
Desen ZhouNIODirección de correo verificada de nio.com
Elinor McKoneAustralian National UniversityDirección de correo verificada de anu.edu.au
Alexander MathewsAustralian National UniversityDirección de correo verificada de anu.edu.au
Zeeshan HayderAustralian National University, NICTA/Data61/CSIRODirección de correo verificada de anu.edu.au
Shuailin LiShanghaitech UniversityDirección de correo verificada de shanghaitech.edu.cn
Longtian QiuShanghaiTech UniversityDirección de correo verificada de shanghaitech.edu.cn
Stephen GouldProfessor at Australian National UniversityDirección de correo verificada de anu.edu.au
Salman KhanMBZUAI, Australian National UniversityDirección de correo verificada de anu.edu.au
Mohammed BennamounWinthrop Professor - University of Western AustraliaDirección de correo verificada de uwa.edu.au

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Xuming He

ShanghaiTech University

Dirección de correo verificada de shanghaitech.edu.cn - Página principal

Machine Learning Computer Vision Robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Multiscale conditional random fields for image labeling X He, RS Zemel, MA Carreira-Perpinán Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004	1285	2004
Der: Dynamically expandable representation for class incremental learning S Yan, J Xie, X He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	702	2021
Discrete-continuous depth estimation from a single image M Liu, M Salzmann, X He Proceedings of the IEEE conference on computer vision and pattern …, 2014	477	2014
Shape-aware semi-supervised 3D semantic segmentation for medical images S Li, C Zhang, X He Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	428	2020
Part-aware prototype network for few-shot semantic segmentation Y Liu, X Zhang, S Zhang, X He Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	387	2020
Distribution alignment: A unified framework for long-tail visual recognition S Zhang, Z Li, S Yan, X He, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	337	2021
Senticap: Generating image descriptions with sentiments A Mathews, L Xie, X He Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	294	2016
Pose-aware multi-level feature network for human object interaction detection B Wan, D Zhou, Y Liu, R Li, X He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	265	2019
Learning and incorporating top-down cues in image segmentation X He, RS Zemel, D Ray Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006	262	2006
Bipartite graph network with adaptive message passing for unbiased scene graph generation R Li, S Zhang, B Wan, X He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	250	2021
Forest change detection in incomplete satellite images with deep neural networks SH Khan, X He, F Porikli, M Bennamoun IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5407-5423, 2017	249	2017
Sphinx: The joint mixing of weights, tasks, and visual embeddings for multi-modal large language models Z Lin, C Liu, R Zhang, P Gao, L Qiu, H Xiao, H Qiu, C Lin, W Shao, ... arXiv preprint arXiv:2311.07575, 2023	213	2023
Gnerf: Gan-based neural radiance field without posed camera Q Meng, A Chen, H Luo, M Wu, H Su, L Xu, X He, J Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	207	2021
Boundary-aware instance segmentation Z Hayder, X He, M Salzmann Proceedings of the IEEE conference on computer vision and pattern …, 2017	175	2017
Semstyle: Learning to generate stylised image captions using unaligned text A Mathews, L Xie, X He Proceedings of the IEEE conference on computer vision and pattern …, 2018	145	2018
Indoor scene structure analysis for single image depth estimation W Zhuo, M Salzmann, X He, M Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	144	2015
Sgtr: End-to-end scene graph generation with transformer R Li, S Zhang, X He proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	113	2022
Calip: Zero-shot enhancement of clip with parameter-free attention Z Guo, R Zhang, L Qiu, X Ma, X Miao, X He, B Cui Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 746-754, 2023	109	2023
Dynamic context correspondence network for semantic alignment S Huang, Q Wang, S Zhang, S Yan, X He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	101	2019
Latentgnn: Learning efficient non-local relations for visual recognition S Zhang, X He, S Yan International Conference on Machine Learning, 7374-7383, 2019	93	2019

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