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Sernam Lim
Sernam Lim
Associate Professor, CS, University of Central Florida
在 ucf.edu 的电子邮件经过验证 - 首页
标题
引用次数
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Visual prompt tuning
M Jia, L Tang, BC Chen, C Cardie, S Belongie, B Hariharan, SN Lim
European Conference on Computer Vision, 709-727, 2022
13482022
Learning from synthetic data: Addressing domain shift for semantic segmentation
S Sankaranarayanan, Y Balaji, A Jain, SN Lim, R Chellappa
Proceedings of the IEEE conference on computer vision and pattern …, 2018
622*2018
A metric learning reality check
K Musgrave, S Belongie, SN Lim
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
5362020
Combining label propagation and simple models out-performs graph neural networks
Q Huang, H He, A Singh, SN Lim, AR Benson
arXiv preprint arXiv:2010.13993, 2020
3302020
What makes fake images detectable? understanding properties that generalize
L Chai, D Bau, SN Lim, P Isola
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
3092020
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation
Z Wu, X Han, YL Lin, MG Uzunbas, T Goldstein, SN Lim, LS Davis
ECCV, 2018
3092018
Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods
D Lim, F Hohne, X Li, SL Huang, V Gupta, O Bhalerao, SN Lim
Advances in Neural Information Processing Systems 34, 20887-20902, 2021
3072021
Making an invisibility cloak: Real world adversarial attacks on object detectors
Z Wu, SN Lim, LS Davis, T Goldstein
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2792020
Hornet: Efficient high-order spatial interactions with recursive gated convolutions
Y Rao, W Zhao, Y Tang, J Zhou, SN Lim, J Lu
Advances in Neural Information Processing Systems 35, 10353-10366, 2022
2742022
Enhancing adversarial example transferability with an intermediate level attack
Q Huang, I Katsman, H He, Z Gu, S Belongie, SN Lim
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2622019
Cross-x learning for fine-grained visual categorization
W Luo, X Yang, X Mo, Y Lu, LS Davis, J Li, J Yang, SN Lim
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2552019
Adavit: Adaptive vision transformers for efficient image recognition
L Meng, H Li, BC Chen, S Lan, Z Wu, YG Jiang, SN Lim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2012022
Detecting deep-fake videos from appearance and behavior
S Agarwal, H Farid, T El-Gaaly, SN Lim
2020 IEEE international workshop on information forensics and security (WIFS …, 2020
2012020
Nerv: Neural representations for videos
H Chen, B He, H Wang, Y Ren, SN Lim, A Shrivastava
Advances in Neural Information Processing Systems 34, 21557-21568, 2021
1962021
On feature normalization and data augmentation
B Li, F Wu, SN Lim, S Belongie, KQ Weinberger
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1692021
Joint audio-visual deepfake detection
Y Zhou, SN Lim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1462021
Curriculum manager for source selection in multi-source domain adaptation
L Yang, Y Balaji, SN Lim, A Shrivastava
Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23 …, 2020
1332020
Adaptive RNN Tree for Large-Scale Human Action Recognition
W Li, L Wen, MC Chang, S Nam Lim, S Lyu
The IEEE International Conference on Computer Vision (ICCV), 1444-1452, 2017
1282017
Generate, segment, and refine: Towards generic manipulation segmentation
P Zhou, BC Chen, X Han, M Najibi, A Shrivastava, SN Lim, L Davis
Proceedings of the AAAI conference on artificial intelligence 34 (07), 13058 …, 2020
1172020
Pytorch metric learning
K Musgrave, S Belongie, SN Lim
arXiv preprint arXiv:2008.09164, 2020
1152020
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