News and Events
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 here.
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 here.
Brief Bio
Yulan Guo (郭裕兰) is currently an associate professor. He received the B.Eng. and Ph.D. degrees from National University of Defense Technology (NUDT) in 2008 and 2015, respectively. He was a visiting Ph.D. student with the University of Western Australia from 2011 to 2014. He worked as a postdoctorial research fellow with the Institute of Computing Technology, Chinese Academy of Sciences from 2016 to 2018. He has authored over 100 articles in journals and conferences, such as the IEEE TPAMI and IJCV. His current research interests focus on 3D vision, particularly on 3D feature learning, 3D modeling, 3D object recognition, and scene understanding. Dr. Guo received the CAAI Outstanding Doctoral Dissertation Award in 2016, the CAAI Wu-Wenjun Outstanding AI Youth Award in 2019, and the ACM China SIGAI Rising Star Award in 2019. He served as an Associate Editor for IEEE TIP, a Guest Editor for IEEE TPAMI, an Area Chair for CVPR 2021, ICCV 2021, ACM Multimedia 2021, an organizer for a tutorial in CVPR 2016 and a workshop in CVPR 2019. He is a senior member of IEEE and ACM.
[Github, ResearchGate, Google Scholar, 中文]
[Github, ResearchGate, Google Scholar, 中文]
Books & Chapters
2019
2015
2D and 3D Feature Selection for Face Recognition
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
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
You only Train Once: Learning General and Distinctive 3D Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
Disentangling Light Fields for Super-Resolution and Disparity Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
3DPointCaps++: Learning 3D Representations with Capsule Networks
International Journal of Computer Vision, 2022.
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels
European Conference on Computer Vision (ECCV), 2022.
Decoupling Makes Weakly Supervised Local Feature Better
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
3DAC: Learning Attribute Compression for Point Clouds
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Learnable Lookup Table for Neural Network Quantization
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
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
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Semantic-Aware Domain Generalized Segmentation
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Geometric Transformer for Fast and Robust Point Cloud Registration
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
2021
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
Learning A Single Network for Scale-Arbitrary Super-Resolution
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
International Conference on Computer Vision (ICCV), Oct. 11-17, Virtual, 2021.
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
International Conference on Computer Vision and Pattern Recognition (CVPR), June 19-25, 1-12, Virtual, 2021.
Bilateral Grid Learning for Stereo Matching Network
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
International Conference on Computer Vision and Pattern Recognition (CVPR), June 19-25, 1-12, Virtual, 2021.
Unsupervised Degradation Representation Learning for Blind Super-Resolution
International Conference on Computer Vision and Pattern Recognition (CVPR), June 19-25, 1-12, Virtual, 2021.
2020
Parallax Attention for Unsupervised Stereo Correspondence Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
Deep Learning for 3D Point Clouds: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
Deep Video Super-Resolution using HR Optical Flow Estimation
IEEE Transactions on Image Processing, 2020.
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
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
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
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.
Ground-to-aerial Image Geo-localization with a Hard Exemplar Reweighting Triplet Loss
IEEE International Conference on Computer Vision (ICCV). Oct 27 – Nov 2, Seoul, Korea, 2019.
Learning Parallax Attention for Stereo Image Super-Resolution
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). June 16 – 21, Long Beach, U.S., 2019.
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
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
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2016
A Comprehensive Performance Evaluation of 3D Local Feature Descriptors
International Journal of Computer Vision (IJCV). 116(1): 66-89. 2016
Median Robust Extended Local Binary Pattern for Texture Classification
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
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
International Journal of Computer Vision (IJCV). 105(1): 63-86. 2013
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)
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
Last updated: 2020-1-5