Följ
Ligong Han
Ligong Han
PhD Candidate, Department of Computer Science, Rutgers University
Verifierad e-postadress på rutgers.edu - Startsida
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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
862023
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
672023
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
422021
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
382022
Unsupervised domain adaptation via calibrating uncertainties
L Han, Y Zou, R Gao, L Wang, D Metaxas
CVPR Workshops 9, 2019
352019
Disentangled recurrent wasserstein autoencoder
J Han, MR Min, L Han, LE Li, X Zhang
International Conference on Learning Representations (ICLR'21), 2021
302021
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
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
212022
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
19*2024
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
182022
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
17*2024
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
172021
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
172018
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
162020
Unbiased auxiliary classifier gans with MINE
L Han, A Stathopoulos, T Xue, D Metaxas
arXiv preprint arXiv:2006.07567, 2020
132020
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
122022
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
92022
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
9*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
52021
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
42023
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Artiklar 1–20