SVDiff: Compact parameter space for diffusion fine-tuning L Han, Y Li, H Zhang, P Milanfar, D Metaxas, F Yang Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 124 | 2023 |
SINE: Single image editing with text-to-image diffusion models Z Zhang, L Han, A Ghosh, DN Metaxas, J Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 91 | 2023 |
Human-AI collaboration with bandit feedback R Gao, M Saar-Tsechansky, M De-Arteaga, L Han, MK Lee, M Lease Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 45 | 2021 |
Show me what and tell me how: Video synthesis via multimodal conditioning L Han, J Ren, HY Lee, F Barbieri, K Olszewski, S Minaee, D Metaxas, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
Unsupervised domain adaptation via calibrating uncertainties L Han, Y Zou, R Gao, L Wang, D Metaxas CVPR Workshops 9, 2019 | 35 | 2019 |
Disentangled recurrent wasserstein autoencoder J Han, MR Min, L Han, LE Li, X Zhang International Conference on Learning Representations (ICLR'21), 2021 | 34 | 2021 |
Transfusion: multi-view divergent fusion for medical image segmentation with transformers D Liu, Y Gao, Q Zhangli, L Han, X He, Z Xia, S Wen, Q Chang, Z Yan, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 28 | 2022 |
ProxEdit: Improving tuning-free real image editing with proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 26* | 2024 |
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators K Song, L Han, B Liu, D Metaxas, A Elgammal Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 25* | 2024 |
Deep contextual recurrent residual networks for scene labeling THN Le, CN Duong, L Han, K Luu, KG Quach, M Savvides Pattern Recognition 80, 32-41, 2018 | 25 | 2018 |
Hierarchically self-supervised transformer for human skeleton representation learning Y Chen, L Zhao, J Yuan, Y Tian, Z Xia, S Geng, L Han, DN Metaxas European Conference on Computer Vision, 185-202, 2022 | 22 | 2022 |
Dual projection generative adversarial networks for conditional image generation L Han, MR Min, A Stathopoulos, Y Tian, R Gao, A Kadav, DN Metaxas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 18 | 2021 |
Learning generative models of tissue organization with supervised GANs L Han, RF Murphy, D Ramanan 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 682-690, 2018 | 17 | 2018 |
Robust conditional GAN from uncertainty-aware pairwise comparisons L Han, R Gao, M Kim, X Tao, B Liu, D Metaxas Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10909 …, 2020 | 16 | 2020 |
Unbiased auxiliary classifier gans with MINE L Han, A Stathopoulos, T Xue, D Metaxas arXiv preprint arXiv:2006.07567, 2020 | 13 | 2020 |
Region proposal rectification towards robust instance segmentation of biological images Q Zhangli, J Yi, D Liu, X He, Z Xia, Q Chang, L Han, Y Gao, S Wen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 12 | 2022 |
AE-StyleGAN: Improved training of style-based auto-encoders L Han, SH Musunuri, MR Min, R Gao, Y Tian, D Metaxas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 12 | 2022 |
Enhancing Counterfactual Classification Performance via Self-Training R Gao, M Biggs, W Sun, L Han Proceedings of the AAAI conference on artificial intelligence 36 (6), 6665-6673, 2022 | 10* | 2022 |
Deception detection in videos using robust facial features A Stathopoulos, L Han, N Dunbar, JK Burgoon, D Metaxas Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3, 668-682, 2021 | 6 | 2021 |
Learning complementary policies for human-ai teams R Gao, M Saar-Tsechansky, M De-Arteaga, L Han, W Sun, MK Lee, ... arXiv preprint arXiv:2302.02944, 2023 | 5 | 2023 |