| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1623 | 2018 |
| Large-scale concept ontology for multimedia M Naphade, JR Smith, J Tesic, SF Chang, W Hsu, L Kennedy, ... IEEE multimedia 13 (3), 86-91, 2006 | 800 | 2006 |
| Cross-age reference coding for age-invariant face recognition and retrieval BC Chen, CS Chen, WH Hsu Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 479 | 2014 |
| Drone-based object counting by spatially regularized regional proposal network MR Hsieh, YL Lin, WH Hsu Proceedings of the IEEE international conference on computer vision, 4145-4153, 2017 | 373 | 2017 |
| IBM research TRECVID-2003 video retrieval system A Amir, M Berg, SF Chang, W Hsu, G Iyengar, CY Lin, M Naphade, ... Proc. TRECVID workshop, 2003, 2003 | 351 | 2003 |
| Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset BC Chen, CS Chen, WH Hsu IEEE Transactions on Multimedia 17 (6), 804-815, 2015 | 311 | 2015 |
| Video search reranking through random walk over document-level context graph WH Hsu, LS Kennedy, SF Chang Proceedings of the 15th ACM international conference on Multimedia, 971-980, 2007 | 309 | 2007 |
| Video search reranking via information bottleneck principle WH Hsu, LS Kennedy, SF Chang Proceedings of the 14th ACM international conference on multimedia, 35-44, 2006 | 290 | 2006 |
| Columbia university’s baseline detectors for 374 lscom semantic visual concepts A Yanagawa, SF Chang, L Kennedy, W Hsu Columbia University ADVENT technical report, 222-2006, 2007 | 240 | 2007 |
| Columbia University TRECVID-2006 video search and high-level feature extraction SF Chang, W Hsu, W Jiang, L Kennedy, D Xu, A Yanagawa, E Zavesky NIST TRECVID workshop, 2006 | 216 | 2006 |
| Travel recommendation by mining people attributes and travel group types from community-contributed photos YY Chen, AJ Cheng, WH Hsu IEEE Transactions on Multimedia 15 (6), 1283-1295, 2013 | 195 | 2013 |
| Joint sequence learning and cross-modality convolution for 3D biomedical segmentation KL Tseng, YL Lin, W Hsu, CY Huang Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017 | 193 | 2017 |
| Personalized travel recommendation by mining people attributes from community-contributed photos AJ Cheng, YY Chen, YT Huang, WH Hsu, HYM Liao Proceedings of the 19th ACM international conference on Multimedia, 83-92, 2011 | 182 | 2011 |
| Jointly optimizing 3d model fitting and fine-grained classification YL Lin, VI Morariu, W Hsu, LS Davis Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 180 | 2014 |
| Free-form video inpainting with 3d gated convolution and temporal patchgan YL Chang, ZY Liu, KY Lee, W Hsu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 163 | 2019 |
| Super-identity convolutional neural network for face hallucination K Zhang, Z Zhang, CW Cheng, WH Hsu, Y Qiao, W Liu, T Zhang Proceedings of the European conference on computer vision (ECCV), 183-198, 2018 | 135 | 2018 |
| SheepDog: group and tag recommendation for flickr photos by automatic search-based learning HM Chen, MH Chang, PC Chang, MC Tien, WH Hsu, JL Wu Proceeding of the 16th ACM international conference on Multimedia, 737-740, 2008 | 129 | 2008 |
| Scalable face image retrieval using attribute-enhanced sparse codewords BC Chen, YY Chen, YH Kuo, WH Hsu IEEE Transactions on Multimedia 15 (5), 1163-1173, 2013 | 119 | 2013 |
| Reranking methods for visual search WH Hsu, LS Kennedy, SF Chang IEEE MultiMedia 14 (3), 14-22, 2007 | 110 | 2007 |
| Story boundary detection in large broadcast news video archives: techniques, experience and trends TS Chua, SF Chang, L Chaisorn, W Hsu Proceedings of the 12th Annual ACM international Conference on Multimedia …, 2004 | 98 | 2004 |
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia UniversityDirección de correo verificada de columbia.edu
