| When2com: Multi-agent perception via communication graph grouping YC Liu, J Tian, N Glaser, Z Kira Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 155 | 2020 |
| Who2com: Collaborative perception via learnable handshake communication YC Liu, J Tian, CY Ma, N Glaser, CW Kuo, Z Kira International Conference on Robotics and Automation (ICRA 2020), 2020 | 122 | 2020 |
| Posterior Re-calibration for Imbalanced Datasets J Tian, YC Liu, N Glaser, YC Hsu, Z Kira Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 72 | 2020 |
| A closer look at rehearsal-free continual learning JS Smith, J Tian, S Halbe, YC Hsu, Z Kira Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 40 | 2023 |
| Recall Loss for Imbalanced Image Classification and Semantic Segmentation J Tian, NC Mithun, Z Seymour, H Chiu, Z Kira ICRA, 2022 | 39* | 2022 |
| 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 | 32 | 2022 |
| UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation J Tian, W Cheung, N Glaser, YC Liu, Z Kira International Conference on Robotics and Automation (ICRA 2020), 2020 | 30 | 2020 |
| Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion J Tian, L Aggarwal, A Colaco, Z Kira, M Gonzalez-Franco Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
| A geometric perspective towards neural calibration via sensitivity decomposition J Tian, D Yung, YC Hsu, Z Kira Advances in Neural Information Processing Systems 34, 26358-26369, 2021 | 25 | 2021 |
| 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 | 24 | 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 | 17 | 2022 |
| Exploring covariate and concept shift for detection and calibration of out-of-distribution data J Tian, YC Hsu, Y Shen, H Jin, Z Kira arXiv preprint arXiv:2110.15231, 2021 | 14* | 2021 |
| Image Captioning with Compositional Neural Module Networks J Tian, J Oh Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 12 | 2019 |
| 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 | 11 | 2021 |
| Hepco: Data-free heterogeneous prompt consolidation for continual federated learning S Halbe, JS Smith, J Tian, Z Kira arXiv preprint arXiv:2306.09970, 2023 | 6 | 2023 |
| Fast Trainable Projection for Robust Fine-Tuning J Tian, YC Liu, JS Smith, Z Kira Conference on Neural Information Processing Systems, 2023 | 2 | 2023 |
| Region metrics for class balancing in machine learning systems HP Chiu, J Tian, Z Seymour, NC Mithun US Patent App. 17/478,177, 2022 | 2 | 2022 |
| Enhancing multi-robot perception via learned data association N Glaser, YC Liu, J Tian, Z Kira arXiv preprint arXiv:2107.00769, 2021 | 2 | 2021 |
| Diffuse, Attend and Segment: Unsupervised zero-shot segmentation using stable diffusion model J Tian, L Aggarwal, A Colaco, Z Kira, MG Franco | 1 | 2023 |
| Fedfor: Stateless heterogeneous federated learning with first-order regularization J Tian, JS Smith, Z Kira arXiv preprint arXiv:2209.10537, 2022 | 1 | 2022 |
Zsolt KiraAssistant Professor, Georgia Institute of TechnologyПотвърден имейл адрес: gatech.edu
