| Cross-dimensional weighting for aggregated deep convolutional features Y Kalantidis, C Mellina, S Osindero European conference on computer vision, 685-701, 2016 | 536 | 2016 |
| Crest: A class-rebalancing self-training framework for imbalanced semi-supervised learning C Wei, K Sohn, C Mellina, A Yuille, F Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 417 | 2021 |
| Understanding and discovering deliberate self-harm content in social media Y Wang, J Tang, J Li, B Li, Y Wan, C Mellina, N O'Hare, Y Chang Proceedings of the 26th international conference on World Wide Web, 93-102, 2017 | 87 | 2017 |
| Selective content insertion into areas of media objects B Thomée, I Kalantidis, CE Mellina, S Osindero US Patent 10,706,889, 2020 | 33 | 2020 |
| Dynamic content mapping SK Osindero, R Jaros, E Willis, C Mellina, A Svetlichnaya US Patent 9,710,433, 2017 | 27 | 2017 |
| Dynamic content mapping SK Osindero, R Jaros, E Willis, C Mellina, A Svetlichnaya US Patent 10,540,423, 2020 | 15 | 2020 |
| Systems and/or methods for constructing online ads using media objects created by generative processes C Mellina, I Kalantidis, T Baumgartner US Patent 11,049,151, 2021 | 8 | 2021 |
| Loh and behold: Web-scale visual search, recommendation and clustering using locally optimized hashing Y Kalantidis, L Kennedy, H Nguyen, C Mellina, DA Shamma European conference on computer vision, 702-718, 2016 | 7 | 2016 |
| Trope propagation in the cultural space C Mellina, S Svetlichnaya Technical Report. Stanford University, 2011 | 6 | 2011 |
| Label Budget Allocation in Multi-Task Learning X Sun, K Sohn, K Saenko, C Mellina, X Bian arXiv preprint arXiv:2308.12949, 2023 | 1 | 2023 |
| Incorporating Weighted Clustering in 3D Gesture Recognition J Hiesey, C Mellina, Z Dar Dec 16, 1-5, 2011 | 1 | 2011 |
| Do Silhouettes Dream? Y Kalantidis, C Xu, C Mellina Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition …, 2017 | | 2017 |
