Clustering Multimedia Data SF Tsai, GJ Qi, S Chang, MH Tsai, T Huang Data Classification: Algorithms and Applications (edited by Charu Aggarwal), 2014 | 3228* | 2014 |
The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2131 | 2015 |
Multimedia Information Networks in Social Media GJQ Liangliang Cao, SF Tsai, MH Tsai, AD Pozo, TS Huang, SH Lim, ... Social Network Data Analytics (edited by Charu Aggarwal), 1-15, 2011 | 1193* | 2011 |
Pc-darts: Partial channel connections for memory-efficient architecture search Y Xu, L Xie, X Zhang, X Chen, GJ Qi, Q Tian, H Xiong arXiv preprint arXiv:1907.05737, 2019 | 786 | 2019 |
Heterogeneous network embedding via deep architectures S Chang, W Han, J Tang, GJ Qi, CC Aggarwal, TS Huang Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 696 | 2015 |
Correlative multi-label video annotation GJ Qi, XS Hua, Y Rui, J Tang, T Mei, HJ Zhang Proceedings of the 15th ACM international conference on Multimedia, 17-26, 2007 | 611 | 2007 |
Differential recurrent neural networks for action recognition V Veeriah, N Zhuang, GJ Qi Proceedings of the IEEE international conference on computer vision, 4041-4049, 2015 | 594 | 2015 |
Task agnostic meta-learning for few-shot learning MA Jamal, GJ Qi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 532 | 2019 |
Unified video annotation via multigraph learning M Wang, XS Hua, R Hong, J Tang, GJ Qi, Y Song IEEE Transactions on Circuits and Systems for Video Technology 19 (5), 733-746, 2009 | 509 | 2009 |
Stock price prediction via discovering multi-frequency trading patterns L Zhang, C Aggarwal, GJ Qi Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 411 | 2017 |
Stock price prediction via discovering multi-frequency trading patterns L Zhang, C Aggarwal, GJ Qi Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 411 | 2017 |
Loss-sensitive generative adversarial networks on lipschitz densities GJ Qi International Journal of Computer Vision 128 (5), 1118-1140, 2020 | 401 | 2020 |
Interleaved group convolutions T Zhang, GJ Qi, B Xiao, J Wang Proceedings of the IEEE international conference on computer vision, 4373-4382, 2017 | 379 | 2017 |
Spatial-temporal transformer networks for traffic flow forecasting M Xu, W Dai, C Liu, X Gao, W Lin, GJ Qi, H Xiong arXiv preprint arXiv:2001.02908, 2020 | 354 | 2020 |
Joint multi-label multi-instance learning for image classification ZJ Zha, XS Hua, T Mei, J Wang, GJ Qi, Z Wang 2008 ieee conference on computer vision and pattern recognition, 1-8, 2008 | 303 | 2008 |
Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images J Tang, R Hong, S Yan, TS Chua, GJ Qi, R Jain ACM Transactions on Intelligent Systems and Technology (TIST) 2 (2), 1-15, 2011 | 276 | 2011 |
Small data challenges in big data era: A survey of recent progress on unsupervised and semi-supervised methods GJ Qi, J Luo IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2168-2187, 2020 | 273 | 2020 |
Inferring semantic concepts from community-contributed images and noisy tags J Tang, S Yan, R Hong, GJ Qi, TS Chua Proceedings of the 17th ACM international conference on Multimedia, 223-232, 2009 | 233 | 2009 |
Aet vs. aed: Unsupervised representation learning by auto-encoding transformations rather than data L Zhang, GJ Qi, L Wang, J Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 232 | 2019 |
Community detection with edge content in social media networks GJ Qi, CC Aggarwal, T Huang 2012 IEEE 28th International conference on data engineering, 534-545, 2012 | 221 | 2012 |