| Moment Matching for Multi-Source Domain Adaptation X Peng, Q Bai, X Xia, Z Huang, K Saenko, B Wang ICCV 2019 (Oral), 2019 | 1888 | 2019 |
| Deep Metric Learning to Rank F Cakir, K He, X Xia, B Kulis, S Sclaroff CVPR 2019, 2019 | 324 | 2019 |
| W-Net: A Deep Model for Fully Unsupervised Image Segmentation X Xia, X Peng, B Kulis arXiv preprint arXiv:1711.08506, 2017 | 323 | 2017 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 91 | 2024 |
| Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer X Xia, M Zhang, T Xue, Z Sun, H Fang, B Kulis, J Chen ECCV 2020, 2020 | 57 | 2020 |
| Real-time Localized Photorealistic Video Style Transfer X Xia, T Xue, W Lai, Z Sun, A Chang, B Kulis, J Chen WACV 2021, 2021 | 27 | 2021 |
| Learning to Approximate a Bregman Divergence A Siahkamari, X Xia, V Saligrama, D Castanon, B Kulis NeurIPS 2020, 2020 | 26 | 2020 |
| W-net: A deep model for fully unsupervised image segmentation. arXiv 2017 X Xia, B Kulis arXiv preprint arXiv:1711.08506, 2017 | 20 | 2017 |
| Evaluating text-to-visual generation with image-to-text generation Z Lin, D Pathak, B Li, J Li, X Xia, G Neubig, P Zhang, D Ramanan arXiv preprint arXiv:2404.01291, 2024 | 19 | 2024 |
| DIME-FM: DIstilling Multimodal and Efficient Foundation Models X Sun, P Zhang, P Zhang, H Shah, K Saenko, X Xia ICCV 2023, 2023 | 14 | 2023 |
| W-net: A deep model for fully unsupervised image segmentation. arXiv X Xia, B Kulis arXiv preprint arXiv:1711.08506, 2017 | 10 | 2017 |
| Cost-Sensitive Batch Mode Active Learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice X Xia, P Protopapas, F Doshi-Velez SDM 2016, 2016 | 10 | 2016 |
| An affinity-structure database of helix-turn-helix: DNA complexes with a universal coordinate system M AlQuraishi, S Tang, X Xia BMC bioinformatics 16, 1-19, 2015 | 9 | 2015 |
| W-Net: a deep model for fully unsupervised image segmentation. 2017 X Xia, B Kulis arXiv preprint arXiv:1711.08506, 0 | 7 | |
| Evaluating and Improving Compositional Text-to-Visual Generation B Li, Z Lin, D Pathak, J Li, Y Fei, K Wu, X Xia, P Zhang, G Neubig, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| GenAI-Bench: A Holistic Benchmark for Compositional Text-to-Visual Generation Z Lin, D Pathak, JE Li, X Xia, G Neubig, P Zhang, D Ramanan Synthetic Data for Computer Vision Workshop@ CVPR 2024, 2024 | 1 | 2024 |
| Learning Video Context as Interleaved Multimodal Sequences KQ Lin, P Zhang, D Gao, X Xia, J Chen, Z Gao, J Xie, X Xiao, MZ Shou arXiv preprint arXiv:2407.21757, 2024 | | 2024 |
| Learning Video Context as Interleaved Multimodal Sequences K Qinghong Lin, P Zhang, D Gao, X Xia, J Chen, Z Gao, J Xie, X Xiao, ... arXiv e-prints, arXiv: 2407.21757, 2024 | | 2024 |
| GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation B Li, Z Lin, D Pathak, J Li, Y Fei, K Wu, T Ling, X Xia, P Zhang, G Neubig, ... arXiv preprint arXiv:2406.13743, 2024 | | 2024 |
| Deep representation learning for photorealistic content creation X Xia Boston University, 2021 | | 2021 |
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
