| A unified multi-scale deep convolutional neural network for fast object detection Z Cai, Q Fan, RS Feris, N Vasconcelos Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1654 | 2016 |
| Blockdrop: Dynamic inference paths in residual networks Z Wu, T Nagarajan, A Kumar, S Rennie, LS Davis, K Grauman, R Feris Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 447 | 2018 |
| Cross-domain image retrieval with a dual attribute-aware ranking network J Huang, RS Feris, Q Chen, S Yan Proceedings of the IEEE international conference on computer vision, 1062-1070, 2015 | 440 | 2015 |
| Image ranking and retrieval based on multi-attribute queries B Siddiquie, RS Feris, LS Davis CVPR 2011, 801-808, 2011 | 421 | 2011 |
| Fully-adaptive feature sharing in multi-task networks with applications in person attribute classification Y Lu, A Kumar, S Zhai, Y Cheng, T Javidi, R Feris Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 392 | 2017 |
| Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging R Raskar, KH Tan, R Feris, J Yu, M Turk ACM transactions on graphics (TOG) 23 (3), 679-688, 2004 | 380 | 2004 |
| Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging R Raskar, KH Tan, R Feris, J Yu, M Turk ACM transactions on graphics (TOG) 23 (3), 679-688, 2004 | 380 | 2004 |
| Manifold based analysis of facial expression Y Chang, C Hu, R Feris, M Turk Image and Vision Computing 24 (6), 605-614, 2006 | 354 | 2006 |
| An exploration of parameter redundancy in deep networks with circulant projections Y Cheng, FX Yu, RS Feris, S Kumar, A Choudhary, SF Chang Proceedings of the IEEE international conference on computer vision, 2857-2865, 2015 | 342 | 2015 |
| Spottune: transfer learning through adaptive fine-tuning Y Guo, H Shi, A Kumar, K Grauman, T Rosing, R Feris Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 341 | 2019 |
| Delta-encoder: an effective sample synthesis method for few-shot object recognition E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, A Kumar, R Feris, ... Advances in neural information processing systems 31, 2018 | 326 | 2018 |
| Repmet: Representative-based metric learning for classification and few-shot object detection L Karlinsky, J Shtok, S Harary, E Schwartz, A Aides, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 304 | 2019 |
| Deep domain adaptation for describing people based on fine-grained clothing attributes Q Chen, J Huang, R Feris, LM Brown, J Dong, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 304 | 2015 |
| Attribute-based people search in surveillance environments DA Vaquero, RS Feris, D Tran, L Brown, A Hampapur, M Turk 2009 workshop on applications of computer vision (WACV), 1-8, 2009 | 261 | 2009 |
| Robust detection of abandoned and removed objects in complex surveillance videos YL Tian, RS Feris, H Liu, A Hampapur, MT Sun IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 252 | 2010 |
| Learning to separate object sounds by watching unlabeled video R Gao, R Feris, K Grauman Proceedings of the European Conference on Computer Vision (ECCV), 35-53, 2018 | 248 | 2018 |
| A broader study of cross-domain few-shot learning Y Guo, NC Codella, L Karlinsky, JV Codella, JR Smith, K Saenko, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 239* | 2020 |
| Designing category-level attributes for discriminative visual recognition FX Yu, L Cao, RS Feris, JR Smith, SF Chang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 237 | 2013 |
| Designing Category-Level Attributes for Discriminative Visual Recognition XY Felix, L Cao, RS Feris, JR Smith, SF Chang | 237* | |
| Jointly optimize data augmentation and network training: Adversarial data augmentation in human pose estimation X Peng, Z Tang, F Yang, RS Feris, D Metaxas Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 217 | 2018 |
Lisa BrownResearch Staff, IBM T.J. Watson Research CenterVerified email at us.ibm.com
