Guorong Li received her B.S. degree in technology of computer application from Renmin University of China, in 2006 and Ph.D. degree in technology of computer application from the Graduate University of the Chinese Academy of Sciences in 2012. Since 2017, she has been an associate professor at the University of Chinese Academy of Sciences. Her research interests include object tracking, video analysis, pattern recognition, and cross-media analysis.
Email: liguorong at ucas dot ac don cn
Research Areas
- Multimedia Computing, Computer Vision, UAV Video Analysis
Publications
Journal Paper:
- Yifan Yang, Guorong Li*, Dawei D, Qingming Huang, Nicu Sebe, “Embedding Perspective Analysis into Multi-Column Convolutional Neural Network for Crowd Counting”, accepted by TIP.
- Kai Xu, Longyin Wen, Guorong Li*, Qingming Huang, “Self-Supervised Deep TripleNet for Video Object Segmentation”, accepted by TMM.
- Hongyang Yu, Guorong Li*, Weigang Zhang, Qingming Huang, Dawei Du, Qi Tian, Nicu Sebe, “The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline”, 128(5): 1141-1159, IJCV 2020.
- Hongyang Yu, Guorong Li, Li Su, Bineng Zhong, Hongxun Yao, Quan Huang, Conditional GAN based individual and global motion fusion for multiple object tracking in UAV videos, Pattern Recognition Letters 131, 219-226,2020.
Zhe Xue, Guorong Li*, Shuhui Wang, Jun Huang, Weigang Zhang, Qingming Huang, “Beyond global fusion: A group-aware fusion approach for multi-view image clustering”, Information Sciences, 493: 176-191, 2019.
Zhe Xue, Guorong Li*, Qingming Huang*, “Joint Multi-view Representation and Image Annotation via Optimal Predictive Subspace Learning”, Information Sciences, 2018, 451: 180-194.
Liang Zhang, Bingpeng Ma, Guorong Li, Qingming Huang and Qi Tian, “Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval”, IEEE Trans. on Multimedia, 2018,20(1): 128-141.
Jun Huang, Guorong Li*, Qingming Huang*, Xindong Wu, “Joint Feature Selection and Classification for Multilabel Learning”, IEEE Transactions on Cybernetics, 2018, 48(3): 876-889.
Zhe Xue, Guorong Li*, Shuhui Wang, Weigang Zhang, Qingming Huang*, “Bi-Level Multi-View Latent Space Learning”, IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28(2): 327-341.
Jun Huang, Guorong Li*, Zhe Xue, Shuhui Wang and Qingming Huang, “Multi-label classification by exploiting local positive and negative pairwise label correlation”, Vol 257, pp. 164-174, Neurocomputing, 2017.
Liang Zhang, Bingpeng Ma, Guorong Li, Qingming Huang, Qi Tian, “Cross-Modal Retrieval Using Multiordered Discriminative Structured Subspace Learning”, IEEE Trans. Multimedia 19(6): 1220-1233, 2017.
Jun Huang, Guorong Li*, Qingming Huang* and Xindong Wu, “Learning Label-specific Features and Class-Dependent Labels for Multi-Label Classification”, IEEE Transactions on Knowledge and Data Engineering, 28(12):3309-3323, 2016.
Guorong Li, Bingpeng Ma*, Jun Huang, Qingming Huang and Weigang Zhang, “Beyond Appearance Model: Learning Appearance Variations for Object Tracking”, Neurocomputing, 214(19):796-804, 2016.
Lingyang Chu, Yanyang Zhang, Guorong Li*, Shuhui Wang, Weigang Zhang and Qingming Huang, “Effective Multi-modality Fusion Framework For Cross-media Topic Detection”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 26(3):556-569, 2016.
Guorong Li, Qingming Huang, Shuqiang Jiang, Yingkun Xu, Weigang Zhang, “Online Learning Affinity Measure with CovBoost for Multi-target Tracking”, Neurocomputing, Vol. 168, 2015, 327-335.
WeigangZhang, Tianlong Chen,Guorong Li*, Junbiao Pang, Qingming Huang, Wen Gao, “Fusing cross-media for topic detection by dense keyword groups”, Neurocomputing, Vol. 169, 2015, 169-179.
Guorong Li,Qingming Huang, Lei Qin, Shuqiang Jiang,“SSOCBT: A Robust Semi-Supervised Online CovBoost Tracker by Using Samples Differently”, IEEE Transac-tions on Circuits and Systems for Video Technology (T-CSVT), Vol. 23, No. 4, pp: 695-709, 2013.
Guorong Li,Wei Qu, Qingming Huang,“A Multiple Targets Appearance Tracker based on Object Interaction Model”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), Vol. 22, No. 3, pp: 450-464, 2012.
Guorong Li, Qingming Huang, Junbiao Pang, Shuqiang Jiang, Lei Qin,“Online Selection of the Best k-Feature Subset for Object Tracking”, J. Visual Communication and Image Representation (JVCIR) 23(2): 254-263 (2012).
Zhe Xue, Guorong Li, Weigang Zhang, Junbiao Pang and Qingming Huang, “Topic Detection in Cross-Media: A Semi-Supervised Co-clustering Approach”, International Journal of Multimedia Information Retrieval, 3(3): 193-205.
Guorong Li, Shuqiang Jiang, Weigang Zhang, Junbiao Pang and Qingming Huang, “Online Web Video Topic Detection and Tracking with Semi-supervised Learning”, Multimedia Systems, 22(1): 115-125, 2016.
Xi Wang, Li Su, Honggang Qi, Qingming Huang and Guorong Li, “Face Distortion Recovery Based on Online Learning Database for Conversational Video”, IEEE Transactions on Multimedia (TMM), 18(8): 2130 - 2140, 2014.
Xingkun Xu, Lei Qin, Guorong Li, Qingming Huang, " Online Discriminative Structured Output SVM Learning for Multi-Target Tracking", IEEE Signal Processing Letters (SPL), 23(2):190-194, 2014.
Weigang Zhang, Chunxi Liu, Zhenjun Wang, Guorong Li, Qingming Huang, Wen Gao, “Web video thumbnail recommendation with content-aware analysis and query-sensitive matching”, Multimedia Tools and Applications (MTAP),1-25, 2013.
International Conference Paper
- Chen Zhang, Guorong Li, Li Su, Weigang Zhang, Qingming Huang, “Video Anomaly Detection Using Open Data Filter and Domain Adaptation”, VCIP 2020.
- Mingyao Hong, Guorong Li*, Xinfeng Zhang, Qingming Huang, “Generalized Zero-Shot Video Classification via Generative Adversarial Networks”, ACM MM 2020.
- Yifan Yang, Guorong Li*, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe, “Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations”, ECCV 2020.
- Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff, Real-time Visual Object Tracking with Natural Language Description, The IEEE Winter Conference on Applications of Computer Vision, 700-709, 2020.
- Yifan Yang, Guorong Li*, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe, “Reverse Perspective Network for Perspective-Aware Object Counting”, CVPR 2020.
- Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji, “Siamese Box Adaptive Network for Visual Tracking”, CVPR 2020.
- Yifan Yang, Guorong Li*, Yuankai Qi, Qingming Huang, “Release the Power of Online-Training for Robust Visual Tracking”, AAAI 2020.
- Yongyang Yu, Guorong Li, Weigang Zhang, Hongxun Yao, Qingming Huang, “Self-balance Motion and Appearance Model for Multi-object Tracking in UAV”, Asia MM 2019.
- Kai Xu, Longyin Wen, Guorong Li*, Liefeng Bo, Qingming Huang, “Spatiotemporal CNN for Video Object Segmentation”, CVPR 2019, June 15-20, USA, 2019.
- Dawei Du, Yuankai Qi, Hongyang Yu, Yifan Yang, Kaiwen Duan, Guorong Li*, Weigang Zhang, Qingming Huang, Qi Tian, “The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking”, European Conference on Computer Vision, September 14-18, Germany, 2018.
- Shulin Li, Weigang Zhang, Guorong Li, Li Su Qingming Huang, “Vehicle Detection in UAV Traffic Video Based on Convolutional Neural Network”, IEEE Conference on Multimedia Information Processing and Retrieval, April 10-12, USA, 2018.
- Kai Xu, Guorong Li, Huijuan, Weigang Zhang, Qingming Huang, “EDGE GUIDED GENERATION NETWORK FOR VIDEO PREDICTION”, IEEE International Conference on Multimedia and Expo, July 2018.
- Liang Zhang, Bingpeng Ma, Guorong Li, Qingming Huang and Qi Tian. Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval, ACM Multimedia, October 2017.
- Liang Zhang, Bingpeng Ma, Jianfeng He, Guorong Li, Qingming Huang and Qi Tian. Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval. International Joint Conference on Artificial Intelligence, August 2017.
- Liang Zhang, Bingpeng Ma, Guorong Li and Qingming Huang. Metric based on Multi-order Spaces for Cross-modal Retrieval. IEEE International Conference on Multimedia and Expo, July 2017.
- Liang Zhang, Bingpeng Ma, Guorong Li, Qingming Huang, Qi Tian, “PL-ranking: A Novel Ranking Method for Cross-Modal Retrieval”, ACM Multimedia (ACM MM), 2016.
- Zhe Xue, Guorong Li*, Qingming Huang, "Joint Multi-View Representation Learning and Image Tagging", Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI 2016), Phoenix, USA, Feb. 12-17, 2016.
- Jun Huang, Guorong Li*, Qingming Huang, Xindong Wu, “Learning Label Specific Features for Multi-Label Classification”, IEEE International Conference on Data Mining (ICDM2015), Atlantic City, New Jersey, USA, Nov. 14-17, 2015, accepted. (regular paper, 8.4% acceptance rate).
- Zhe Xue, Guorong Li, Shuhui Wang, Chunjie Zhang, Weigang Zhang, Qingming Huang, "GOMES: A GROUP-AWARE MULTI-VIEW FUSION APPROACH TOWARDS REAL-WORLD IMAGE CLUSTERING", IEEE International Conference on Multimedia and Expo(ICME) 2015. (oral).
- Jun Huang, Guorong Li, Shuhui Wang, Weigang Zhang, Qingming Huang, "GROUP SENSITIVE CLASSIFIER CHAINS FOR MULTI-LABEL CLASSIFICATION", IEEE International Conference on Multimedia and Expo(ICME) 2015.
- Guorong Li, Lei Qin, Qingming Huang, Junbiao Pang, Shuqiang Jiang. “Treat Samples Differently: Object Tracking with Semi-supervised Online CovBoost”, International Conference on Computer Vision (ICCV), 2011.
- Guorong Li, Weigang Zhang, Junbiao Pang, Qingming Huang, Shuqing Jiang, “Online web-video Topic Detection and Tracking with Semi-supervised Learning”, Pacific-Rim Conference on Advances in Multimedia Information Processing (PCM), 2013. (oral)
- Guorong Li, Wei Qu, Qingming Huang. “Real-time interactive multi-target tracking using kernel-based trackers”, IEEE International Conference on Image Processing (ICIP), 2010.
- Guorong Li, Dawei Liang, Qingming Huang, Shuqiang Jiang, Wen Gao. “Object tracking using incremental 2D-LDA learning and Bayes inference”, IEEE International Conference on Image Processing (ICIP), 2008. 32,
- Fei Jia, Junbiao Pang, Weigang Zhang, Guorong Li, Chunjie Zhang, Qingming Huang, “WEB TOPIC DETECTION USING A RANKED CLUSTERING-LIKE PATTERN ACROSS SIMILARITY CASCADES”, IEEE International Conference on Multimedia and Expo(ICME), 2014.
- Yanyan Zhang, Guorong Li*, Lingyang Chu, Weigang Zhang, Shuhui Wang, Qingming Huang,, “Cross-Media Topic Detection: A Multi-Modality Fusion Framework”, IEEE International Conference on Multimedia and Expo(ICME), 2013. (oral, Best Paper Candidate)