Scholar
Guorong Li
Google Scholar ID: AiuGlVQAAAAJ
University of Chinese Academy of Sciences
Citations & Impact
Citations
5,995
H-index
32
i10-index
65
Publications
20
Co-authors
10
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published numerous papers in prestigious journals including IEEE TIP, TMM, IJCV, Pattern Recognition Letters, Information Sciences, IEEE Transactions on Cybernetics, IEEE TKDE, Neurocomputing, and IEEE TCSVT
- Notable publications include: “Embedding Perspective Analysis into Multi-Column Convolutional Neural Network for Crowd Counting” (TIP)
- “Self-Supervised Deep TripleNet for Video Object Segmentation” (TMM)
- “The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline” (IJCV 2020)
- “Conditional GAN based individual and global motion fusion for multiple object tracking in UAV videos” (Pattern Recognition Letters 2020)
- “Beyond global fusion: A group-aware fusion approach for multi-view image clustering” (Information Sciences 2019)
- “Joint Multi-view Representation and Image Annotation via Optimal Predictive Subspace Learning” (Information Sciences 2018)
- “Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval” (IEEE Trans. on Multimedia 2018)
- “Joint Feature Selection and Classification for Multilabel Learning” (IEEE Transactions on Cybernetics 2018)
- “Bi-Level Multi-View Latent Space Learning” (IEEE TCSVT 2018)
- “Multi-label classification by exploiting local positive and negative pairwise label correlation” (Neurocomputing 2017)
- “Cross-Modal Retrieval Using Multiordered Discriminative Structured Subspace Learning” (IEEE Trans. Multimedia 2017)
- “Learning Label-specific Features and Class-Dependent Labels for Multi-Label Classification” (IEEE TKDE 2016)
- “Beyond Appearance Model: Learning Appearance Variations for Object Tracking” (Neurocomputing 2016)
- “Effective Multi-modality Fusion Framework For Cross-media Topic Detection” (IEEE TCSVT 2016)
- “Online Learning Affinity Measure with CovBoost for Multi-target Tracking” (Neurocomputing 2015)
- “Fusing cross-media for topic detection by dense keyword groups” (Neurocomputing 2015)
- “SSOCBT: A Robust Semi-Supervised Online CovBoost Tracker by Using Samples Differently” (IEEE Transactions on Circuits)
