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My research interest mainly includes Computer Vision, Pattern Recognition, and Machine Learning.
My research interest mainly includes Computer Vision, Pattern Recognition, and Machine Learning.
Our lab has several Ph.D. and Master positions this year.
Our lab has several Ph.D. and Master positions this year.
We are seeking passionate and innovative students to work on CV/PR/ML.
We are seeking passionate and innovative students to work on CV/PR/ML.
Please send me your CV if interested.
Please send me your CV if interested.
Email: xj.max.guo (at) gmail.com
Awards/Honors
Awards/Honors
National Topnotch Youth, 2023, National Ten Thousand Talents Program
IET Fellow & IEEE/CCF Senior Member, 2023/2019/2021
Most Cited Chinese Researchers, 2022, Elsevier
AI 2000 Most Influential Scholar Honorable Mention (World's Top 100) in Multimedia, 2022&2023, AMiner
World's Top 2% Scientists-Career, 2020-2023, Stanford University
Wu Wenjun AI Excellent Youth Scholar Award, 2020, Chinese Association for Artificial Intelligence (CAAI)
PRCV Best Student Paper Award Runner-up , 2020, CAA/CAAI/CSIG/CCF
Outstanding Graduate Student Instructor Award, 2020/2023, Tianjin University
ICME Best Student Paper Award Runner-up X2, 2018, IEEE
Winner of CCF-Tencent Open Fund, 2018, Tencent Co Ltd.
Peiyang Young Scientist & Young Faculty Model, 2017/2019, Tianjin University
Excellent Young Talent & Excellent Researcher Award, 2014/2015, Institute of Information Engineering, Chinese Academy of Sciences
SKLOIS Best Paper Award, 2014, SKLOIS, Institute of Information Engineering, Chinese Academy of Sciences
Piero Zamperoni Best Student Paper Award, 2010, International Association of Pattern Recognition (IAPR)
Ph.D. National Scholarship & Undergraduate National Scholarship, 2012-2013/2007, Ministry of Education, China
Competitions
Competitions
Gold Award in Efficient Raw Object Detection Challenge, Huawei Cloud Competition 2023
Silver Award in Robust Raw Object Detection Challenge, Visual Continual Learning Challenge @ ICCV 2023
Bronze Award in Visual Task under Real-rain Conditions, Huawei Cloud Competition 2023
Academic Activities
Academic Activities
AE/AC/SPC of
Information Fusion, Image and Vision Computing
CVPR 2022, IJCAI 2021, IJCAI 2023, WACV 2024
PC Member/Reviewer of
IEEE Trans on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Trans on Image Processing, IEEE Trans on Multimedia, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Signal Processing, IEEE Signal Processing Letters, IEEE Intelligent Systems, Pattern Recognition, Neurocomputing, Image and Vision Computing, Computer Vision and Image Understanding, Pattern Recognition Letters, Journal of the Optical Society of America A, Journal of Cyber Security, Handbook of Pattern Recognition: Methods and Applications (iConcept Press), ICPR, ACM MM, NIPS, AAAI, CVPR, ICCV, ECCV, ICLR etc.
Featured Projects
Featured Projects
ZEUSEE Toolkit includes a number of models for Face Detection & Identification, Vehical Detection, and License Plate Detection & recognition, etc.
Please see here for details.
Our muGIF is a flexible image filter, which can be applied to a wide spectrum of multimedia, computer vision and graphics applications. muGIF can be in one of self-guided, reference-guided and mutually guided modes.
Please see here for details.
Low rank matrix recovery has been recognized as a theoretical foundation in many computer vision and machine learning tasks. This project collects some of our works on LRMR.
Please see here for details.
Image Feature Matching
Image Feature Matching
This Project provides some of our works on image feature matching/mismatch removal via either traditional and deep-learning methods.
Please see here for details.
H2VC-Tech is a flexible framework to compress videos in any format, which significantly cuts storage space/network bandwidth without loss of visual quality.
Please see here for details.
Exclusivity Regularized Learning
Exclusivity Regularized Learning
Exclusivity is a property that two or multiple (groups of) properties/features/layers/ components/signals are exclusive to each other. This project collects some of our works employing exclusivity to handle different tasks.
Please see here for details.
This Project provides some of our works on deraining via either traditional and deep-learning methods.
Please see here for details.
Publications
Publications
Preprint
"PFLD: A Practical Facial Landmark Detector" [arXiv:1902.10859 ] [Project]
Xiaojie Guo, Siyuan Li, Jiawan Zhang, Jiayi Ma, Lin Ma, Wei Liu, and Haibin Ling
"TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios" [arXiv:2309.01539 ] [Project]
Yuheng Shi, Zehao Huang, Yan Yan, Naiyan Wang, and Xiaojie Guo
2023
"Perceiving Image via Decomposing: A Component Regularization-based Low-light Image Enhancer"
Hao Zhang, Jiayi Ma, Junjun Jiang, Xiaojie Guo, and Wei Liu, submitted to IEEE TPAMI, 2023
"Cas-FNE: Cascaded Face Normal Estimation"
Meng Wang, Xiaojie Guo, and Jiawan Zhang, submitted to IEEE TIP, 2023
"Depth-aware Unpaired Video Dehazing"
Yang Yang, Chunle Guo, and Xiaojie Guo*, submitted to IEEE TIP, 2023
"Single-domain Generalized Segmentation via Seeking the Essence from Diversity"
Xinhui Li and Xiaojie Guo*, submitted to IEEE TIP, 2023
"More than Lightening: A Self-supervised Low-light Image Enhancement Method Capable for Multiple Degradations"
Han Xu, Jiayi Ma, Hao Zhang, Xin Tian, and Xiaojie Guo submitted to IEEE/CAA JAS, 2023
"Face Normal Estimation from Rags to Riches"
Meng Wang, Jiawan Zhang, and Xiaojie Guo*, revised to Pattern Recognition, 2023
"Robust Unpaired Image Dehazing via Density and Depth Decomposition"
Yang Yang, Chaoyue Wang, Xiaojie Guo*, and Dacheng Tao, IJCV, 2023
"Single Image Reflection Removal via Component Synergy"
Qiming Hu and Xiaojie Guo*, ICCV 2023
"PEdger: A Practical Edge Detector via Robust Collaborative Learning"
Yuanbin Fu and Xiaojie Guo*, ACM MM 2023
"PAPS: Progressive Attention-based Pan-sharpening"
Yanan Jia, Qiming Hu, Renwei Dian, Jiayi Ma, and Xiaojie Guo*, IEEE/CAA JAS, 2023
"YOLOV: Making Still Image Object Detectors Great at Video Object Detection" [Project]
Yuheng Shi, Naiyan Wang, and Xiaojie Guo*, AAAI 2023
"Adaptive Texture Filtering for Single-domain Generalized Segmentation"
Xinhui Li, Mingjia Li, Yaxing Wang, Chuanxian Ren, and Xiaojie Guo*, AAAI 2023, Oral
"Hierarchical Image Peeling: A Flexible Scale-space Filtering Framework"
Yuanbin Fu, Jiayi Ma, and Xiaojie Guo*, CVIU, 2023
2022
"Low-light Image Enhancement via Breaking Down the Darkness"
Xiaojie Guo and Qiming Hu, IJCV, 2022
" SPN2D-GAN: Semantic Prior Based Night-to-Day Image-to-Image Translation"
Xiaopeng Li and Xiaojie Guo*, IEEE TMM, 2022
"Learning Generalized Knowledge from A Single Domain on Urban-scene Segmentation"
Xinhui Li, Mingjia Li, Xiaopeng Li, and Xiaojie Guo*, IEEE TMM, 2022
"Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation"
Zhi Liu, Shaoyu Chen, Xiaojie Guo*, Xinggang Wang, Tianheng Cheng, Hongmei Zhu, Qian Zhang, Wenyu Liu, and Yi Zhang, CoRL 2022
"Face Inverse Rendering via Hierarchical Decoupling"
Meng Wang, Xiaojie Guo*, Wenjing Dai, and Jiawan Zhang, IEEE TIP, 2022
"Image Dehazing via Enhancement, Restoration, and Fusion: A Survey"
Xiaojie Guo, Yang Yang, Chaoyue Wang, and Jiayi Ma, Information Fusion, 2022
"DRLIE: Flexible Low-light Image Enhancement via Disentangled Representations"
Linfeng Tang, Jiayi Ma, Hao Zhang, and Xiaojie Guo, IEEE TNNLS, 2022
"Deep Flexible Structure Preserving Image Smoothing"
Mingjia Li, Yuanbin Fu, Xinhui Li, and Xiaojie Guo*, ACM MM 2022
"Towards High-fidelity Face Normal Estimation"
Meng Wang, Chaoyue Wang, Xiaojie Guo, and Jiawan Zhang, ACM MM 2022
"Mutli-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks"
Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangcheng Liu, and Rui Zhang, IJCAI 2022
"Self-augmented Unpaired Learning for Haze Removal and Generation"
Yang Yang, Chaoyue Wang, Lin Zhang, Risheng Liu, Xiaojie Guo*, and Dacheng Tao, CVPR 2022
"通道融合的渐进增强遥感图像融合 "
Yanan Jia and Xiaojie Guo*, 中国图象图形学报 , 2022
"Boosting Semantic Segmentation via Feature Enhancement"
Zhi Liu, Yi Zhang, and Xiaojie Guo, J-VCIR (Recommended from ChinaMM 2022)
"Feature-guided Blind Face Restoration with GAN Prior"
Zhengzhang Hou, Liang Li, and Xiaojie Guo*, ICME 2022
"Synthetic-to-real Generalization for Semantic Segmentation"
Xinhui Li, Liang Li, and Xiaojie Guo*, ICME 2022
"N2D-GAN: A Night-to-day Image-to-image Translator"
Xiaopeng Li, Jiawan Zhang, and Xiaojie Guo*, ICME 2022
"Face Inverse Rendering from Single Images in the Wild"
Meng Wang, Wenjing Dai, Xiaojie Guo, and Jiawan Zhang, ICME 2022
"Low-light Image Enhancement via Feature Restoration"
Yang Yang, Yonghua Zhang, and Xiaojie Guo*, ICASSP 2022
2021
"Trash or Treasure? An Interactive Dual-stream Strategy for Single Image Reflection Removal" [PDF] [Project]
Qiming Hu and Xiaojie Guo*, NeurIPS 2021 (CCF A)
Dong Han, Liang Li, Xiaojie Guo*, and Jiayi Ma, Information Fusion (一区) , 2021
"A Review of Multimodal Image Matching: Methods and Applications"
Xingyu Jiang, Jiayi Ma, Guobao Xiao, Zhenfeng Shao, and Xiaojie Guo, Information Fusion (一区), 2021
"Image Demoireing with A Dual-domain Distilling Network "
Hailing Wang, Qiaoyu Tian, Liang Li, and Xiaojie Guo*, ICME 2021 (Top 15% & Oral)
"Deep Supervised Image Retargeting"
Yijing Mei, Xiaojie Guo, Di Sun, Gang Pan, and Jiawan Zhang, ICME 2021
2020
"Beyond Brightening Low-light Images" [Project]
Yonghua Zhang, Xiaojie Guo*, Jiayi Ma, Wei Liu, and Jiawan Zhang, IJCV, 2020 (CCF A & 一区)
"U2Fusion: A Unified Unsupervised Image Fusion Network" [Project]
Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, and Haibin Ling, IEEE TPAMI, 2020 (CCF A & 一区)
"Bilateral Attention Decoder: A Lightweight Decoder for Real-time Semantic Segmentation"
Chengli Peng, Tian Tian, Chen Chen, Xiaojie Guo, and Jiayi Ma, Neural Networks, 2020
"SDPNet: A Deep Network for Pan-sharpening with Enhanced Information Representation"
Han Xu, Jiayi Ma, Zhengfeng Shao, Hao Zhang, Junjun Jiang, and Xiaojie Guo, IEEE TGRS, 2020
"Generative Landmark Guided Face Inpainting" [Project]
Yang Yang and Xiaojie Guo, PRCV 2020 (Best Student Paper Runner-up Award & Oral)
"Pan-GAN: An Unsupervised Pan-sharpening Method for Remote Sensing Image Fusion"
Jiayi Ma, Wei Yu, Chen Chen, Pengwei Liang, Xiaojie Guo, and Junjun Jiang, Information Fusion, 2020 (一区)
"FusionDN: A Unified Densely Connected Network for Image Fusion" [Project]
Han Xu, Jiayi Ma, Zhuliang Le, Junjun Jiang, and Xiaojie Guo, AAAI 2020 (CCF A)
"Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity " [Project]
Hao Zhang, Han Xu, Yang Xiao, Xiaojie Guo, and Jiayi Ma, AAAI 2020 (CCF A)
2019
Xiaojie Guo, Yu Li, Jiayi Ma, and Haibin Ling, IEEE TPAMI, 2019 (CCF A & 一区)
"Kindling the Darkness: A Practical Low-light Image Enhancer" [Project]
Yonghua Zhang, Jiawan Zhang, and Xiaojie Guo*, ACM MM 2019 (CCF A)
"Infrared and Visible Image Fusion via Detail Preserved Adversarial Learning "
Jiayi Ma, Pengwei Liang, Chen Chen, Xiaojie Guo, Jia Wu, and Junjun Jiang, Information Fusion, 2019 (一区 & ESI Highly Cited Paper)
"Robust Feature Matching Using Spatial Clustering with Heavy Outliers"
Xingyu Jiang, Jiayi Ma, Junjun Jiang, and Xiaojie Guo, IEEE TIP 2019 (CCF A & ESI Highly Cited Paper)
"Bag Similarity Network for Multi-instance Learning"
Xinggang Wang, Yongluan Yuan, Peng Tang, Wenyu Liu, and Xiaojie Guo, Information Sciences, 2019 (一区)
"LMR: Learning a Two-class Classifier for Mismatch Removal"
Jiayi Ma, Xingyu Jiang, Junjun Jiang, Ji Zhao, and Xiaojie Guo, IEEE TIP, 2019 (CCF A & ESI Highly Cited Paper)
"Single Image Deraining: A Benchmark Anylysis"
Siyuan Li, Iago B. Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Jr.,
Roberto Cesar Jr., Jiawan Zhang, Xiaojie Guo, Xiaochun Cao, CVPR 2019 (CCF A)
"Single Image Rain Removal via a Deep Decomposition-Composition Network" [arXiv:1804.02688] [Synthesized Data]
Siyuan Li, Wenqi Ren, Jiawan Zhang, Jinke Yu, and Xiaojie Guo*, CVIU, 2019 (CCF B)
2018
"Locality Preserving Matching" [PDF]
Jiayi Ma, Junjun Jiang, Huabing Zhou, Ji Zhao, and Xiaojie Guo*, IJCV , 2018 (CCF A, 一区, & ESI Highly Cited and Hot Paper)
Xiaojie Guo and Zhouchen Lin, IEEE Trans. on Image Processing, 2018 (CCF A)
"Deep Multi-instance Learning with Dynamic Pooling"
Yongluan Yuan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, and Junzhou Huang, accepted in ACML 2018
"Ensemble Soft-Margin Softmax Loss for Image Classification" [PDF]
Xiaobo Wang, Hailin Shi, Zhen Lei, Si Liu, Xiaojie Guo, and Stan Z. Li, accepted in IJCAI 2018 (CCF A)
"Multi-view Spectral Clustering with Intactness-Aware Similarity" [Code]
Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, and Stan Z. Li, Pattern Recognition, 2018 (CCF B)
"Guided Locality Preserving Matching for Remote Sensing Image Registration"
Jiayi Ma, Junjun Jiang, Huabing Zhou, Ji Zhao, and Xiaojie Guo, IEEE Trans. on Geoscience and Remote Sensing, 2018 (一区 & ESI Highly Cited and Hot Paper)
"Visual Homing via Guided Locality Preserving Matching"
Jiayi Ma, Ji Zhao, Junjun Jiang, Yu Zhou, and Xiaojie Guo*, accepted in IEEE ICRA 2018 (CCF B)
"Co-Saliency Detection via Hierarchical Consistency Measure" [PDF]
Yonghua Zhang, Liang Li, Ruimin Cong, Xiaojie Guo, Hui Xu, and Jiawan Zhang, accepted in ICME 2018 (CCF B)
as Oral and ICME Best Student Paper Award Runner-up
"Co-Referenced Subspace Clustering" [PDF]
Xiaobo Wang, Hailin Shi, Zhen Lei, Xiaojie Guo, and Stan Z. Li, accepted in ICME 2018 (CCF B)
as Oral and ICME Best Student Paper Award Runner-up
"Soft Clustering Guided Image Smoothing"
Liang Li, Xiaojie Guo*, Wei Feng, and Jiawan Zhang, accepted in ICME 2018 as Oral (CCF B)
"Structure-Texture Decomposition via Joint Structure Discovery and Texture Smoothing" [PDF] [Project]
Xiaojie Guo, Siyuan Li, Liang Li, and Jiawan Zhang, accepted in ICME 2018 (CCF B)
"Dependence-Aware Feature Coding for Person Re-Identification"
Xiaobo Wang, Zhen Lei, Shengcai Liao, Xiaojie Guo, Yang Yang, and Stan Z. Li, Signal Processing Letters, 2018
2017
"DAAL: Deep Activation-based Attribute Learning for Action Recognition in Depth Videos"
Chenyang Zhang, Yingli Tian, Xiaojie Guo, and Jingen Liu, Computer Vision and Image Understanding (CVIU), 2017. (CCF B)
Xiaojie Guo, Yu Li, and Jiayi Ma, accepted in ACM MM 2017 (CCF A)
Xiaojie Guo and Zhouchen Lin, accepted in IJCAI 2017 (CCF A)
Xiaojie Guo, Xiaobo Wang, and Haibin Ling, accepted in IJCAI 2017 (CCF A)
"Exclusivity-Consistency Regularized Multi-view Subspace Clustering" [PDF]
Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, and Stan Z. Li, accepted in CVPR 2017 as SPOTLIGHT (CCF A)
"Efficient Low Rank Matrix Approximation via Orthogonality Pursuit and L2 Regularization"
Siyuan Li, Jiawan Zhang, and Xiaojie Guo* (*Corresponding Author), accepted in ICME 2017 as ORAL & TOP 15% (CCF B)
"Single Image Rain Streak Separation Using Layer Priors" [PDF]
Yu Li, Robby T. Tan, Xiaojie Guo*, Jiangbo Lu, and Michael S. Brown, (*Corresponding Author), IEEE Trans. on Image Processing, 2017. (CCF A)
2016
"LIME: A Method for Low-light IMage Enhancement" [Code]
Xiaojie Guo, accepted in ACM MM 2016 (CCF A)
"Rain Streak Removal Using Layer Priors"
Yu Li, Robby T. Tan, Xiaojie Guo, Jiangbo Lu, and Michael S. Brown, accepted in CVPR 2016 (CCF A)
"Robust Face Image Alignment Using Structural Priors"
Xiaojie Guo and Dongdai Lin, accepted in ICME 2016 as ORAL & TOP 15% (CCF B)
"Visual Data Deblocking Using Structural Layer Priors"
Siyuan Li, Jiawan Zhang, and Xiaojie Guo* (*Corresponding Author), accepted in ICME 2016 as ORAL & TOP 15% (CCF B)
Xiaojie Guo, Yu Li, and Haibin Ling, IEEE Trans. on Image Processing, 2016. (CCF A, ESI Highly Cited Paper)
"Image Deblurring via Enhanced Low Rank Prior"
Wenqi Ren, Jinshan Pan, Xiaojie Guo, Wangmeng Zuo, and Ming-Hsuan Yang, IEEE Trans. on Image Processing, 2016. (CCF A)
2015
"Adaptively Unified Semi-Supervised Dictionary Learning with Active Points"
Xiaobo Wang, Xiaojie Guo*, and Stan Z. Li (*Corresponding Author), accepted in ICCV 2015 (CCF A)
"Robust Subspace Segmentation by Simultaneously Learning Data Representations and Their Affinity Matrix" [Code]
Xiaojie Guo, accepted in IJCAI 2015 as 20min.Talk (CCF A)
"Online Robust Low Rank Matrix Recovery"
Xiaojie Guo, accepted in IJCAI 2015 as 10min.Talk (CCF A)
"Generalized Tensor Total Variation Minimization for Visual Data Recovery"
Xiaojie Guo and Yi Ma, accepted in CVPR, 2015 (CCF A)
"Saliency-aware Nonparametric Foreground Annotation based on Weakly Labeled Data"
Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo, and Qi Tian, IEEE Trans. on Neural Networks and Learning Systems, 2015. (SCI 一区)
"SLED: Semantic Label Embedding Dictionary Representation for Multi-label Image Annotation"
Xiaochun Cao, Hua Zhang, Xiaojie Guo, Si Liu, and Dan Meng, IEEE Trans. on Image Processing, 2015. (CCF A)
"High Capacity Separable Reversible Data Hiding in Encrypted Images by Patch-level Sparse Representation"
Xiaochun Cao, Ling Du, Xingxing Wei, Dan Meng, and Xiaojie Guo, IEEE Trans. on Cybernetics, 2015. (SCI 一区, ESI Highly Cited Paper)
"Total Variation Regularized RPCA for Irregularly Moving Object Detection under Dynamic Background"
Xiaochun Cao, Liang Yang, and Xiaojie Guo* (*Corresponding Author), IEEE Trans. on Cybernetics, 2015. (JCR 1)
"A Stochastic Model for Detecting Overlapping and Hierarchical Community Structure"
Xiaochun Cao, Xiao Wang, Di Jin, and Xiaojie Guo, PLOS ONE, 2015.
2014
"Output Feature Augmented Lasso"
Changqing Zhang, Yahong Han, Xiaojie Guo, and Xiaochun Cao, accepted in ICDM as ORAL paper, 2014 (CCF B)
"Augmented Image Retrieval Using Multi-order Object Layout with Attributes"
Xiaochun Cao, Xingxing Wei, Xiaojie Guo, Yahong Han, and Jinhui Tang, accepted in ACM MM, 2014
"Beautifying Fisheye Images Using Orientation and Shape Cues"
Xiaobo Wang, Xiaochun Cao, Xiaojie Guo, and Zhanjie Song, accepted in ACM MM, 2014
"Robust Foreground Detection Using Smoothness and Arbitrariness Constraints" [Code]
Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao, and Yi Ma, accepted in ECCV, 2014 (CCF B)
"Image Retrieval and Ranking via Consistently Reconstructing Multi-Attribute Queries"
Xiaochun Cao, Hua Zhang, Xiaojie Guo, Si Liu, and Xiaowu Chen, accepted in ECCV, 2014 (CCF B)
"Image Retrieval Using Categories, Attributes and Locations"
Xingxing Wei, Xiaojie Guo, and Yahong Han, accepted in Workshop on Parts and attributes in conjunction with ECCV, 2014
"Robust Separation of Reflection from Multiple Images" [Code (4 examples 93 M)][Code (1 example 11 M)]
Xiaojie Guo, Xiaochun Cao, and Yi Ma, accepted in CVPR as ORAL, 2014 (SKLOIS Best Paper) (CCF A)
"Speeding Up Low Rank Matrix Recovery for Foreground Separation in Surveillance Videos"
Xiaojie Guo and Xiaochun Cao, accepted in ICME, 2014 (CCF B)
"Scene Text Deblurring Using Text-specific Multi-scale Dictionaries"
Xiaochun Cao, Wenqi Ren, Wangmeng Zuo, Xiaojie Guo, and Hassan Foroosh, IEEE Trans. on Image Processing,accepted, 2014. (CCF A)
"A New Encryption Scheme for Surveillance Videos"
Xiaochun Cao, Meili Ma, Xiaojie Guo, and Ling Du, Frontiers of Computer Science, accepted 2014.
2013 & Before
"SYM-FISH: A Symmetry-aware Flip Invariant Sketch Histogram Shape Descriptor"
Xiaochun Cao, Hua Zhang, Si Liu, Xiaojie Guo, and Liang Lin, accepted in ICCV, 2013 (CCF A)
"Motion Matters: A Novel Framework for Compressing Surveillance Videos"
Xiaojie Guo, Siyuan Li, and Xiaochun Cao, accepted in ACM MM, 2013 (CCF A, short)
"Video Editing with Temporal, Spatial and Appearance Consistency"
Xiaojie Guo, Xiaochun Cao, Xiaowu Chen, and Yi Ma, accepted in CVPR 2013 (CCF A)
"Horizon Matters: Image Re-targeting Using Horizon Cues"
Xiaochun Cao, Feng Jiang, Siyuan Li, and Xiaojie Guo, accepted in ICME 2013 (CCF B)
"Motion Saliency Detection Using Low-rank and Sparse Decomposition" [Code and More Results]
Yawen Xue*, Xiaojie Guo*, and Xiaochun Cao (* These authors contributed equally to this work.), accepted in ICASSP 2012 (CCF B)
"Triangle-Constraint for Finding More Good Features" [Code]
Xiaojie Guo and Xiaochun Cao Piero Zamperoni Best Student Paper Award, accepted as ORAL in ICPR 2010
"FIND: A Neat Flip Invariant Descriptor" [PDF]
Xiaojie Guo and Xiaochun Cao, accepted in ICPR 2010
"Water Reflection Detection Using A Flip Invariant Shape Detector" [PDF]
Hua Zhang, Xiaojie Guo, and Xiaochun Cao, accepted in ICPR 2010
"Duplication Localization and Segmentation" [PDF]
Chenyang Zhang, Xiaojie Guo, and Xiaochun Cao, accepted as ORAL in PCM 2010
Xiaojie Guo, Xiaochun Cao, Jiawan Zhang, and Xuewei Li, accepted in ACCV. 2009
"Video Color Conceptualization Using Optimization"
Xiaochun Cao, Yujie Zhang, Xiaojie Guo, and Yiu-ming Cheung, SCIENCE CHINA Information Sciences, 2013. (CCF B)
"MIFT: A Framework for Feature Descriptors to Be Mirror Reflection Invariant" [Code]
Xiaojie Guo and Xiaochun Cao, Image and Vision Computing, Vol. 30, pp. 545-556, 2012.
"Good Match Exploration Using Triangle Constraint" [Code]
Xiaojie Guo and Xiaochun Cao, Invited Paper, Pattern Recognition Letters, Vol. 33, No. 7, pp. 872-881, 2012
"Identifying Image Composites Through Shadow Matte Consistency"
Qiguang Liu, Xiaochun Cao, Chao Deng, and Xiaojie Guo, IEEE Trans. on Information Forensics and Security, Vol. 6, No. 3, Sep. 2011 (CCF A)
Grants
Grants
2021.01-2024.12 "Deep Structured Image Generation", NSF of China, PI
2020.01-2021.12 "Research on Image Enhancement and Restoration", TSTC, PI
2018.10-2019.09 "CCF-Tencent Open Fund", CCF-Tencent, PI
2018.01-2021.12 "Peiyang Young Scientist Special Grant", Tianjin University, PI
2018.01-2021.12 "Low-quality Visual Data Restoration Using Structural Priors", NSF of China, PI
2017.01-2020.12 "Research on XXXXX", Ministry of Science and Technology of China , Key Participant
2015.01-2017.12 "Research on Panaroma Construction, Foreground Detection and Compression for Aerial Surveillance", NSF of China, PI
2014.01-2016.12 "Excellent Young Talent Special Grant", Chinese Academy of Sciences, PI
2013.07-2014.07 "Research on Surveillance Video Analysis", State Key Lab of Information Security, PI
Talks/Presentations
Talks/Presentations
2017.08 "ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery" @ IJCAI, Melbourne, Australia
2017.08 "Exclusivity Regularized Machine: A New SVM Ensemble Classifier" @ IJCAI, Melbourne, Australia
2017.08 "Structural Priors for Vision and Learning" @ JD AI & Big Data Lab, Beijing, China
2016.12 "Parsimony Helps Data Analysis" @ PEIYANG Forum for Young Scientists, Tianjin, China
2016.12 "Advances and Challenges in Low-level Vision Tasks", @SEEMMO Tech Talk, Beijing, China
2016.11 "Outlier Detection Matters to Low-Dimensional Structure Recovery", @JD (Jingdong) Research, Beijing, China
2016.8 "Visual Recovery Using Structural Priors", @Vision and Learning Young Researchers Seminar, Wuhan, China
2016.7 "Robust Face Image Alignment Using Structural Priors", @ICME, Seattle, USA
2016.5 "Structural Priors Matter: Low Rankness, Sparsity and Low Total Variation (of Visual Data)", @Megvii Tech Talk, Beijing, China
2015.7 "Robust Subspace Segmentation by Simultaneously Learning Data Representations and Their A nity Matrix", @IJCAI, Buenos Aires, Argentina
2015.7 "Online Robust Low Rank Matrix Recovery", @IJCAI, Buenos Aires, Argentina
2014.6 "Robust Separation of Reflection from Multiple Images", @CVPR, Columbus, USA
2010.8 "Triangle-Constraint for Finding More Good Features", @ICPR, Istanbul, Turkey
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