| 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 | 886 | 2022 |
| 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 | 587* | 2018 |
| A metric learning reality check K Musgrave, S Belongie, SN Lim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 488 | 2020 |
| 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 | 297 | 2018 |
| 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 | 295 | 2020 |
| 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 | 240 | 2020 |
| 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 | 240 | 2020 |
| 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 | 227 | 2019 |
| 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 | 225 | 2019 |
| 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 | 220 | 2021 |
| 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 | 196 | 2022 |
| 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 | 165 | 2020 |
| 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 | 140 | 2021 |
| 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 | 139 | 2022 |
| 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 | 139 | 2021 |
| 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 | 119 | 2017 |
| 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 | 116 | 2020 |
| Monitoring, recognizing and discovering social networks T Yu, SN Lim, K Patwardhan, N Krahnstoever 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1462-1469, 2009 | 114 | 2009 |
| Immunizing deep networks using efficient layerwise adversarial training RC Swami Sankaranarayanan, Arpit Jain, Ser-Nam Lim AAAI, 2018 | 103* | 2018 |
| Joint audio-visual deepfake detection Y Zhou, SN Lim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 99 | 2021 |
