| Scaling up visual and vision-language representation learning with noisy text supervision C Jia, Y Yang, Y Xia, YT Chen, Z Parekh, H Pham, QV Le, Y Sung, Z Li, ... arXiv preprint arXiv:2102.05918, 2021 | 1795 | 2021 |
| Learning locally-adaptive decision functions for person verification Z Li, S Chang, F Liang, T Huang, L Cao, J Smith Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 623 | 2013 |
| Hierarchical gaussianization for image classification X Zhou, N Cui, Z Li, F Liang, TS Huang Computer Vision, 2009 IEEE 12th International Conference on, 1971-1977, 2009 | 192 | 2009 |
| Learning semantic relationships for better action retrieval in images V Ramanathan, C Li, J Deng, W Han, Z Li, K Gu, Y Song, S Bengio, ... Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on …, 2015 | 135 | 2015 |
| Emotion recognition from an ensemble of features U Tariq, KH Lin, Z Li, X Zhou, Z Wang, V Le, TS Huang, X Lv, TX Han Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE …, 2011 | 70 | 2011 |
| Blockout: Dynamic model selection for hierarchical deep networks C Murdock, Z Li, H Zhou, T Duerig Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 63 | 2016 |
| Recognizing emotions from an ensemble of features U Tariq, KH Lin, Z Li, X Zhou, Z Wang, V Le, TS Huang, X Lv, TX Han Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 42 …, 2012 | 53 | 2012 |
| Spatial gaussian mixture model for gender recognition Z Li, X Zhou, TS Huang Image Processing (ICIP), 2009 16th IEEE International Conference on, 45-48, 2009 | 36 | 2009 |
| Graph-RISE: Graph-Regularized Image Semantic Embedding DC Juan, CT Lu, Z Li, F Peng, A Timofeev, YT Chen, Y Gao, T Duerig, ... arXiv preprint arXiv:1902.10814, 2019 | 33 | 2019 |
| Delta-simrank computing on mapreduce L Cao, B Cho, HD Kim, Z Li, MH Tsai, I Gupta Proceedings of the 1st International Workshop on Big Data, Streams and …, 2012 | 30 | 2012 |
| Learning to search efficiently in high dimensions Z Li, H Ning, L Cao, T Zhang, Y Gong, TS Huang Advances in Neural Information Processing Systems, 1710-1718, 2011 | 27 | 2011 |
| Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN J Gao, Z Li, R Nevatia arXiv preprint arXiv:1711.07607, 2017 | 21 | 2017 |
| Surveillance Event Detection. M Dikmen, H Ning, DJ Lin, L Cao, V Le, SF Tsai, KH Lin, Z Li, J Yang, ... TRECVID, 2008 | 21 | 2008 |
| A robust framework for multiview age estimation Z Li, Y Fu, TS Huang Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE …, 2010 | 19 | 2010 |
| Ultra fine-grained image semantic embedding DC Juan, CT Lu, Z Li, F Peng, A Timofeev, YT Chen, Y Gao, T Duerig, ... Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 15 | 2020 |
| Extended hierarchical gaussianization for scene classification M Xu, X Zhou, Z Li, B Dai, TS Huang Image Processing (ICIP), 2010 17th IEEE International Conference on, 1837-1840, 2010 | 13 | 2010 |
| Beyond mahalanobis distance: Learning second-order discriminant function for people verification Z Li, L Cao, S Chang, JR Smith, TS Huang Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE …, 2012 | 12 | 2012 |
| Inferring Context from Pixels for Multimodal Image Classification M Shah, K Viswanathan, CT Lu, A Fuxman, Z Li, A Timofeev, C Jia, C Sun Proceedings of the 28th ACM International Conference on Information and …, 2019 | 7 | 2019 |
| Multimodal speech and audio user interfaces for K-12 outreach M Hasegawa-Johnson, C Goudeseune, J Cole, H Kaczmarski, H Kim, ... APSIPA ASC, 526-531, 2011 | 6 | 2011 |
| Unifying Specialist Image Embedding into Universal Image Embedding Y Feng, F Peng, X Zhang, W Zhu, S Zhang, H Zhou, Z Li, T Duerig, ... arXiv preprint arXiv:2003.03701, 2020 | 3 | 2020 |
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignE-mailová adresa ověřena na: ifp.uiuc.edu
