| A Closer Look at Few-shot Classification WY Chen, YC Liu, Z Kira, Wang, YC Frank, JB Huang International Conference on Learning Representations (ICLR 2019), 2019 | 2284 | 2019 |
| Unbiased teacher for semi-supervised object detection YC Liu, CY Ma, Z He, CW Kuo, K Chen, P Zhang, B Wu, Z Kira, P Vajda ICLR 2021, 2021 | 562 | 2021 |
| A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation A Liu, YC Liu, YY Yeh, YCF Wang NeurIPS 2018, 2018 | 481 | 2018 |
| Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines YC Hsu, YC Liu, Z Kira NeurIPS 2018 Continual Learning Workshop, 2018 | 419 | 2018 |
| Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation PY Chen, AH Liu, YC Liu, YC Frank Wang CVPR 2019, 2019 | 276 | 2019 |
| When2com: Multi-Agent Perception via Communication Graph Grouping YC Liu, J Tian, N Glaser, Z Kira CVPR 2020, 2020 | 229 | 2020 |
| Who2com: Collaborative Perception via Learnable Handshake Communication YC Liu, J Tian, CY Ma, N Glaser, CW Kuo, Z Kira ICRA 2020, 2020 | 161 | 2020 |
| Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification YJ Li, FE Yang, YC Liu, YY Yeh, X Du, YCF Wang CVPR 2018 Workshops, 2018 | 150 | 2018 |
| Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation YC Liu, YY Yeh, TC Fu, WC Chiu, SD Wang, YCF Wang CVPR 2018, 2018 | 135 | 2018 |
| Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors YC Liu, CY Ma, Z Kira CVPR 2022, 2022 | 134 | 2022 |
| Posterior Re-calibration for Imbalanced Datasets J Tian, YC Liu, N Glaser, YC Hsu, Z Kira NeurIPS 2020, 2020 | 89 | 2020 |
| Deep aggregation net for land cover classification TS Kuo, KS Tseng, JW Yan, YC Liu, YC Frank Wang CVPR 2018 Workshops, 2018 | 58 | 2018 |
| Polyhistor: Parameter-efficient multi-task adaptation for dense vision tasks YC Liu, CY Ma, J Tian, Z He, Z Kira Advances in neural information processing systems 35, 36889-36901, 2022 | 55 | 2022 |
| UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation J Tian, W Cheung, N Glaser, YC Liu, Z Kira ICRA 2020, 2020 | 34 | 2020 |
| Trainable projected gradient method for robust fine-tuning J Tian, Z He, X Dai, CY Ma, YC Liu, Z Kira Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 32 | 2023 |
| Open-set semi-supervised object detection YC Liu, CY Ma, X Dai, J Tian, P Vajda, Z He, Z Kira European conference on computer vision, 143-159, 2022 | 28 | 2022 |
| Overcoming obstructions via bandwidth-limited multi-agent spatial handshaking N Glaser, YC Liu, J Tian, Z Kira 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 20 | 2021 |
| Missing modality robustness in semi-supervised multi-modal semantic segmentation H Maheshwari, YC Liu, Z Kira Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 14 | 2024 |
| Fast trainable projection for robust fine-tuning J Tian, YC Liu, JS Smith, Z Kira Advances in Neural Information Processing Systems 36, 11374-11393, 2023 | 11 | 2023 |
| A closer look at few-shot classification. CoRR abs/1904.04232 (2019) WY Chen, YC Liu, Z Kira, YCF Wang, JB Huang arXiv preprint arXiv:1904.04232, 2019 | 9 | 2019 |
Zsolt KiraAssociate Professor, Georgia Institute of TechnologyPatvirtintas el. paštas gatech.edu