| A Closer Look at Few-shot Classification WY Chen, YC Liu, Z Kira, YCF Wang, JB Huang International Conference on Learning Representations (ICLR), 2019 | 2357 | 2019 |
| On convergence and stability of gans N Kodali, J Abernethy, J Hays, Z Kira arXiv preprint arXiv:1705.07215, 2017 | 827* | 2017 |
| Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data YC Hsu, Y Shen, H Jin, Z Kira IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 643 | 2020 |
| 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 International Conference on Learning Representations (ICLR), 2021 | 520 | 2021 |
| Habitat 2.0: Training Home Assistants to Rearrange their Habitat A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ... Neural Information Processing Systems (NeurIPS), 2021 | 496 | 2021 |
| Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines YC Hsu, YC Liu, Z Kira NIPS Workshop on Continual Learning, 2018 | 397 | 2018 |
| Self-Monitoring Navigation Agent via Auxiliary Progress Estimation CY Ma, J Lu, Z Wu, G AlRegib, Z Kira, R Socher, C Xiong International Conference on Learning Representations (ICLR), 2019 | 300 | 2019 |
| TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition CY Ma, MH Chen, Z Kira, G AlRegib Signal Processing: Image Communication 71, 76-87, 2019 | 296 | 2019 |
| Learning to cluster in order to Transfer across domains and tasks YC Hsu, Z Lv, Z Kira International Conference on Learning Representations (ICLR), 2018 | 253 | 2018 |
| Temporal Attentive Alignment for Large-Scale Video Domain Adaptation MH Chen, Z Kira, G AlRegib, J Yoo, R Chen, J Zheng Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019 | 219 | 2019 |
| Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning JS Smith, L Karlinsky, V Gutta, P Cascante-Bonilla, D Kim, A Arbelle, ... Conference on Computer Vision and Pattern Recognition (CVPR) 3 (8), 14, 2023 | 215* | 2023 |
| Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022 | 209 | 2022 |
| The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation CY Ma, Z Wu, G AlRegib, C Xiong, Z Kira IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 198 | 2019 |
| Multi-class Classification without Multi-class Labels YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira International Conference on Learning Representations (ICLR), 2019 | 197 | 2019 |
| Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning J Smith, YC Hsu, J Balloch, Y Shen, H Jin, Z Kira International Conference on Computer Vision (ICCV), 2021 | 190 | 2021 |
| When2com: multi-agent perception via communication graph grouping YC Liu, J Tian, N Glaser, Z Kira IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4106-4115, 2020 | 185 | 2020 |
| Attend and Interact: Higher-Order Object Interactions for Video Understanding CY Ma, A Kadav, I Melvin, Z Kira, G AlRegib, HP Graf Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 171 | 2018 |
| Fusing LIDAR and images for pedestrian detection using convolutional neural networks J Schlosser, CK Chow, Z Kira 2016 IEEE International Conference on Robotics and Automation (ICRA), 2198-2205, 2016 | 171 | 2016 |
| Deep learning approach to point cloud scene understanding for automated scan to 3D reconstruction J Chen, Z Kira, YK Cho Journal of Computing in Civil Engineering 33 (4), 04019027, 2019 | 162 | 2019 |
| Featmatch: Feature-based augmentation for semi-supervised learning CW Kuo, CY Ma, JB Huang, Z Kira European Conference on Computer Vision (ECCV), 479-495, 2020 | 145 | 2020 |
