| Deep coral: Correlation alignment for deep domain adaptation B Sun, K Saenko Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 2291 | 2016 |
| Return of Frustratingly Easy Domain Adaptation B Sun, J Feng, K Saenko AAAI, 2016 | 1625 | 2016 |
| Learning Deep Object Detectors from 3D Models X Peng, B Sun, K Ali, K Saenko Proceedings of the IEEE International Conference on Computer Vision, 1278-1286, 2015 | 405 | 2015 |
| Correlation alignment for unsupervised domain adaptation B Sun, J Feng, K Saenko Domain Adaptation in Computer Vision Applications, 2017 | 297 | 2017 |
| From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains. B Sun, K Saenko BMVC 1 (2), 3, 2014 | 201 | 2014 |
| Subspace distribution alignment for unsupervised domain adaptation. B Sun, K Saenko BMVC 4, 24-1, 2015 | 164 | 2015 |
| Exploring invariances in deep convolutional neural networks using synthetic images X Peng, B Sun, K Ali, K Saenko CoRR, abs/1412.7122 2 (4), 2014 | 62 | 2014 |
| Modeling radiometric uncertainty for vision with tone-mapped color images A Chakrabarti, Y Xiong, B Sun, T Darrell, D Scharstein, T Zickler, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (11), 2185 …, 2014 | 49 | 2014 |
| Generating Large Scale Image Datasets from 3D CAD Models B Sun, X Peng, K Saenko CVPR'15 Workshop on The Future of Datasets in Vision, 2015 | 14 | 2015 |
| Correlation alignment for domain adaptation B Sun University of Massachusetts Lowell, 2016 | 3 | 2016 |
| What Do Deep CNNs Learn About Objects? X Peng, B Sun, K Ali, K Saenko ICLR Workshop Track, 2015 | 3 | 2015 |
| A new algorithm for generating unique-solution Sudoku B Sun, X Sun, Y Wu, Y Yin, G Yang 4th International Conference on Natural Computation (ICNC), 2008 | 3 | 2008 |
| Ground2sky label transfer for fine-grained aerial car recognition B Sun, X Peng, XY Stella, K Saenko Image Processing (ICIP), 2017 IEEE International Conference on, 360-364, 2017 | 1 | 2017 |
| From Virtual to Reality B Sun, K Saenko | 1 | 2017 |
| Deconstructing the Deformable Parts Model: Do More with Less B Schroeder, B Sun, K Saenko, K Ali Third International Workshop on Parts and Attributes at ECCV, 2014 | 1 | 2014 |
| LossMix: Simplify and Generalize Mixup for Object Detection and Beyond T Vu, B Sun, B Yuan, A Ngai, Y Li, JM Frahm arXiv preprint arXiv:2303.10343, 2023 | | 2023 |
Kate SaenkoBoston UniversityVerified email at bu.edu
