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Ligong Han
Ligong Han
MIT-IBM Watson AI Lab, Rutgers University
Verified email at rutgers.edu - Homepage
Title
Cited by
Cited by
Year
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
1982023
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
1532023
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
562021
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
49*2024
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
482022
Disentangled recurrent wasserstein autoencoder
J Han, MR Min, L Han, LE Li, X Zhang
International Conference on Learning Representations (ICLR'21), 2021
382021
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
372022
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
362022
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
35*2024
Unsupervised domain adaptation via calibrating uncertainties
L Han, Y Zou, R Gao, L Wang, D Metaxas
CVPR Workshops 9, 2019
352019
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
252018
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
C Jin, H Peng, S Zhao, Z Wang, W Xu, L Han, J Zhao, K Zhong, ...
arXiv preprint arXiv:2406.14449, 2024
222024
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
222021
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
182020
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
182018
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
162022
Unbiased auxiliary classifier gans with MINE
L Han, A Stathopoulos, T Xue, D Metaxas
arXiv preprint arXiv:2006.07567, 2020
152020
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
142022
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
11*2022
Score-Guided Diffusion for 3D Human Recovery
A Stathopoulos, L Han, D Metaxas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
92024
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Articles 1–20