| Deep Metric Learning to Rank F Cakir, K He, X Xia, B Kulis, S Sclaroff Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 176 | 2019 |
| Mihash: Online hashing with mutual information F Cakir, K He, S Adel Bargal, S Sclaroff Proceedings of the IEEE International Conference on computer vision, 437-445, 2017 | 85 | 2017 |
| Adaptive hashing for fast similarity search F Cakir, S Sclaroff Proceedings of the IEEE international conference on computer vision, 1044-1052, 2015 | 80 | 2015 |
| Hashing as tie-aware learning to rank K He, F Cakir, SA Bargal, S Sclaroff Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 72 | 2018 |
| Hashing with mutual information F Cakir, K He, SA Bargal, S Sclaroff IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 66 | 2019 |
| Online Supervised Hashing F Cakir, S Sclaroff International Conference on Image Processing (ICIP), 2606-2610, 2015 | 51 | 2015 |
| Nearest-neighbor based metric functions for indoor scene recognition F Cakir, U Güdükbay, Ö Ulusoy Computer Vision and Image Understanding 115 (11), 1483-1492, 2011 | 31 | 2011 |
| Hashing with binary matrix pursuit F Cakir, K He, S Sclaroff Proceedings of the European conference on computer vision (ECCV), 332-348, 2018 | 23 | 2018 |
| Supervised hashing with error correcting codes F Cakir, S Sclaroff Proceedings of the 22nd ACM international conference on Multimedia, 785-788, 2014 | 10 | 2014 |
| MLPerf mobile inference benchmark VJ Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, K Shiring, ... arXiv preprint arXiv:2012.02328, 2020 | 5 | 2020 |
| Stan, Sclaroff F Cakir, K He, X Xia, B Kulis Deep metric learning to rank. In, CVPR 3, 2019 | 5 | 2019 |
| MLPerf mobile inference benchmark: Why mobile AI benchmarking is hard and what to do about it VJ Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, K Shiring, ... arXiv preprint arXiv:2012.02328, 2020 | 4 | 2020 |
| Data storage and retrieval system using online supervised hashing S Sclaroff, F Cakir, HE Kun US Patent 10,990,626, 2021 | 1 | 2021 |
| Online supervised hashing for ever-growing datasets F Cakir, SA Bargal, S Sclaroff arXiv preprint arXiv:1511.03257, 2015 | 1 | 2015 |
| MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI V Janapa Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, ... Proceedings of Machine Learning and Systems 4, 352-369, 2022 | | 2022 |
| MLPerf Mobile Inference Benchmark V Janapa Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, ... arXiv e-prints, arXiv: 2012.02328, 2020 | | 2020 |
| Online hashing for fast similarity search F Cakir | | 2017 |
| Visual Word Selection without Re-Coding and Re-Pooling F Cakir, S Sclaroff arXiv preprint arXiv:1407.6174, 2014 | | 2014 |
| Formalizing the Optimized Link State Routing Protocol Properties Z Abramson, F Cakir | | |
Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityVerified email at bu.edu
