News and Events

正在招计算机视觉与机器学习方向的博士后，有意者请邮件联系。寻求保研机会请在每年8月前联系。
I am always looking for highly motivated postgraduate students, postdocs and research assistants in CVPR & ML (especially 3D Vision), please send me an email if you are interested.
March 2022
9 papers are accepted by CVPR 2022, congratulations to all co-authors.
May ~ Oct. 2021
We are organizing the 2nd workshop and challenge on urban-scale point clouds understanding at ECCV 2022, more can be found here.
Feburary 2022
We are organizing the The 1st Challenge on Moving Object Detection and Tracking in Satellite Videos (SatVideoDT) in conjunction with ICPR 2022, the test result submission deadline is May 10, 2022, more can be found here.
January 2022
We are organizing the NTIRE 2022: Stereo Image Super-Resolution Challenge in conjunction with CVPR 2022, the test result submission deadline is Mar. 20, 2022, more can be found
December 2021
I was invited to serve as an Associate Editor for IEEE Transactions on Image Processing.
December 2021
The homepage of our group at github is now online, please feel free to give feedbacks on these codes. More can be found

Brief Bio

Prof. Yulan Guo (郭裕兰) received the B.E. and Ph.D. degrees from National University of Defense Technology (NUDT) in 2008 and 2015, respectively. He has authored over 100 articles at highly referred journals and conferences. His research interests lie in 3D vision, low-level vision, and machine learning. He served as an associate editor for IEEE Transactions on Image Processing, IET Computer Vision, IET Image Processing, and Computers & Graphics. He also served as an area chair for CVPR 2023/2021, ICCV 2021, and ACM Multimedia 2021. He is a Senior Member of IEEE and ACM.
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Books & Chapters

2019
3D Shape Analysis: Fundamentals, Theory, and Applications
Hedi Tabia, Yulan Guo, Hamid Laga, Robert B. Fisher, Mohammed Bennamoun
John Wiley and Sons. 1-352, 2018.
2015
2D and 3D Feature Selection for Face Recognition
Mohammed Bennamoun, Yulan Guo, Ferdous Sohel
Encyclopedia of Electrical and Electronics Engineering. John Wiley and Sons. 1-54, 2015.

Publications

2022
Exploring Fine-Grained Sparsity in Neural Networks for Efficient Inference
Longguang Wang, Yulan Guo∗, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
You only Train Once: Learning General and Distinctive 3D Local Descriptors
Sheng Ao, Yulan Guo∗, Qingyong Hu, Bo Yang, Andrew Markham, Zengping Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
pdf
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Yingqian Wang, Longguang Wang, Gaochang Wu, Jungang Yang*, Wei An, Jingyi Yu, Yulan Guo*
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
pdf   code
3DPointCaps++: Learning 3D Representations with Capsule Networks
Yongheng Zhao, Guangchi Fang, Yulan Guo, Leonidas Guibas, Federico Tombari, Tolga Birdal*
International Journal of Computer Vision, 2022.
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels
Qingyong Hu, Bo Yang*, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham
European Conference on Computer Vision (ECCV), 2022.
pdf  
Decoupling Makes Weakly Supervised Local Feature Better
Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo*
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
pdf  
3DAC: Learning Attribute Compression for Point Clouds
Guangchi Fang, Qingyong Hu, Hanyun Wang, Yiling Xu, Yulan Guo*
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Learnable Lookup Table for Neural Network Quantization
Longguang Wang, Yingqian Wang, Xiaoyu Dong, Li Liu, Wei An, Yulan Guo*
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Yingqian Wang*, Longguang Wang, Zhenyu Liang, Jungang Yang, Wei An, Yulan Guo
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
Yuhua Xu*, Xiaoli Yang, Yushan Yu, Wei Jia, Zhaobi Chu, Yulan Guo
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds
Yifan Zhang, Qingyong Hu*, Guoquan Xu, Yanxin Ma, Jianwei Wan, Yulan Guo
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Semantic-Aware Domain Generalized Segmentation
Duo Peng, Yinjie Lei*, Munawar Hayat, Yulan Guo, Wen Li
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Geometric Transformer for Fast and Robust Point Cloud Registration
Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu*
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, Kai Xu*
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
2021
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
Qingyong Hu, Bo Yang*, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
Learning A Single Network for Scale-Arbitrary Super-Resolution
Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo*
International Conference on Computer Vision (ICCV), Oct. 11-17, Virtual, 2021.
 
Sparse-to-dense Feature Matching: Intra and Inter Domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
Duo Peng, Yinjie Lei*, Wen Li, Pingping Zhang, Yulan Guo
International Conference on Computer Vision (ICCV), Oct. 11-17, Virtual, 2021.
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo*
International Conference on Computer Vision and Pattern Recognition (CVPR), June 19-25, 1-12, Virtual, 2021.
 
Bilateral Grid Learning for Stereo Matching Network
Bin Xu, Yuhua Xu*, Xiaoli Yang, Wei Jia, Yulan Guo
International Conference on Computer Vision and Pattern Recognition (CVPR), June 19-25, 1-12, Virtual, 2021.
 
Exploring Sparsity in Image Super-Resolution for Efficient Inference
Longguang Wang, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An, Yulan Guo*
International Conference on Computer Vision and Pattern Recognition (CVPR), June 19-25, 1-12, Virtual, 2021.
 
Unsupervised Degradation Representation Learning for Blind Super-Resolution
Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo*
International Conference on Computer Vision and Pattern Recognition (CVPR), June 19-25, 1-12, Virtual, 2021.
 
2020
Parallax Attention for Unsupervised Stereo Correspondence Learning
Longguang Wang, Yulan Guo*, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
 
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo*, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
 
Deep Video Super-Resolution using HR Optical Flow Estimation
Longguang Wang, Yulan Guo*, Li Liu, Zaiping Lin, Xinpu Deng, Wei An
IEEE Transactions on Image Processing, 2020.
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qinyong Hu, Bo Yang*, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
International Conference on Computer Vision and Pattern Recognition (CVPR), June 14-19, Seattle, Washington, US, 2020.
 
Spatial-Angular Interaction for Light Field Image Super-Resolution
Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo*
European Conference on Computer Vision (ECCV), Aug 23 - Aug 27, Glasgow, U.K., 2020.
 
2019
Stereo Matching Using Multi-level Cost Volume and Multi-scale Feature Constancy
Zhengfa Liang, Yulan Guo*, Yiliu Feng, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang, Hengzhu Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.
Ground-to-aerial Image Geo-localization with a Hard Exemplar Reweighting Triplet Loss
Sudong Cai, Yulan Guo*, Salman Khan, Jiwei Hu, Gongjian Wen
IEEE International Conference on Computer Vision (ICCV). Oct 27 – Nov 2, Seoul, Korea, 2019.
Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo*
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). June 16 – 21, Long Beach, U.S., 2019.
    dataset
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
Salman Khan*, Yulan Guo, Munawar Hayat, Nick Barnes
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). June 16 – 21, Long Beach, U.S., 2019.
2018
Learning for Disparity Estimation through Feature Constancy
Zhengfa Liang*, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2016
A Comprehensive Performance Evaluation of 3D Local Feature Descriptors
Yulan Guo*, Mohammed Bennamoun, Ferdous Sohel, Min Lu, Jianwei Wan, Ngai Ming Kwok
International Journal of Computer Vision (IJCV). 116(1): 66-89. 2016
Median Robust Extended Local Binary Pattern for Texture Classification
Li Liu*, Songyang Lao, Paul Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikainen
IEEE Transactions on Image Processing (IEEE TIP). 25(3): 1368-1381. 2016.
2014
3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey
Yulan Guo*, Mohammed Bennamoun, Ferdous Sohel, Min Lu, Jianwei Wan
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI). 36(11):2270-2287, 2014
2013
Rotational Projection Statistics for 3D Local Surface Description and Object Recognition
Yulan Guo*, Ferdous Sohel, Mohammed Bennamoun, Min Lu, Jianwei Wan
International Journal of Computer Vision (IJCV). 105(1): 63-86. 2013
code

Services

Area Chair: CVPR 2021, ICCV 2021, ACM Multimedia 2021, ICPR 2020, CICAI 2022, CICAI 2021
Associate Editor: IEEE Transactions on Image Processing, Computers & Graphics, IET Computer Vision, IET Image Processing
Guest Editor: Special issue on RGB-D Vision: Methods and Applications, IEEE TPAMI, 2019 Guest Editor: Special Issue on Deep Learning for 3D Segmentation, The Visual Computer, 2022 Guest Editor: Special Issue on Deep Learning for 3D Vision, IET Computer Vision, 2022
Workshop Chair: The 3rd CVPR Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision.

Awards & Honors

2021 Elsevier Highly Cited Chinese Reseacher
2020 Elsevier Highly Cited Chinese Reseacher
2019 ACM China SIGAI Rising Star
2019 CAAI Wu-Wenjun Outstanding AI Youth Award (14 in China)
2018 The 1st Prize in the Category of Stereo in Robust Vision Challenge, CVPR2018
2016 National Postdoctoral Program for Innovative Talents
2016 CAAI Outstanding Doctoral Dissertation Award (9 in China)

Current Students & Alumni

Qingyong Hu, PhD Candidate, Oxford
Longuang Wang, PhD Candidate, NUDT
Yingqian Wang, PhD Candidate, NUDT

Resources

Last updated: 2020-1-5