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7月前联系。More details.
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. More details.
March 2023
6 papers are accepted by CVPR 2023, congratulations to all co-authors.
May ~ Oct. 2023
We are organizing the 3rd workshop and challenge on urban-scale point clouds understanding at ICCV 2023, more can be found here.
January 2023
We are organizing the NTIRE 2023: Stereo Image Super-Resolution Challenge in conjunction with CVPR 2023, more can be found here.

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 150 articles at highly referred journals and conferences, with over 10000 citations in Google Scholar. 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, 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.
[Github, Google Scholar]

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.
link
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

2023
GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer
Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
RoReg: Pairwise Point Cloud Registration with Oriented Descriptors and Local Rotations
Haiping Wang, Yuan Liu, Qingyong Hu, Bing Wang, Jianguo Chen, Zhen Dong, Yulan Guo, Wenping Wang, Bisheng Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
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, 45(4): 4474-4493, 2023.
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, 45(3): 3949-3967, 2023.
pdf
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
Sheng Ao, Qingyong Hu, Hanyun Wang, Kai Xu, Yulan Guo
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos
Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
Mingtao Feng, Haoran Hou, Liang Zhang, Zijie Wu, Yulan Guo, Ajmal Saeed Mian
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Context-aware Alignment and Mutual Masking for 3D-Language Pre-training
Zhao Jin, Munawar Hayat, Yuwei Yang, Yulan Guo, Yinjie Lei
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
Haiping Wang, Yuan Liu, Zhen Dong, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Semi-Weakly Supervised Object Kinematic Motion Prediction
Gengxin Liu, Qian Sun, Haibin Huang, Chongyang Ma, Yulan Guo, Li Yi, Hui Huang, Ruizhen Hu
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
2022
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   code
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   code
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.
pdf   code
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.
pdf   code
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.
pdf   code
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.
pdf   code
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.
pdf   code
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.
pdf   code
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.
pdf   project page
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.
code
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.
pdf   code
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.
pdf   code
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.
pdf   code   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
code
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 2023/2021, ICCV 2021, ACM Multimedia 2021, ICPR 2020, CICAI 2022/2021
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

2022 Elsevier Highly Cited Chinese Reseacher
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

Locations of Site Visitors

Last updated: 2020-1-5