| Unsupervised domain adaptation for semantic segmentation via class-balanced self-training Y Zou, Z Yu, BVK Kumar, J Wang Proceedings of the European conference on computer vision (ECCV), 289-305, 2018 | 1219 | 2018 |
| Confidence regularized self-training Y Zou, Z Yu, X Liu, BVK Kumar, J Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 692 | 2019 |
| Joint disentangling and adaptation for cross-domain person re-identification Y Zou, X Yang, Z Yu, BVKV Kumar, J Kautz Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 193 | 2020 |
| Sliced Wasserstein kernels for probability distributions S Kolouri, Y Zou, GK Rohde Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 162 | 2016 |
| Comprehensive attention self-distillation for weakly-supervised object detection Z Huang, Y Zou, BVK Kumar, D Huang Advances in neural information processing systems 33, 16797-16807, 2020 | 105 | 2020 |
| Simultaneous edge alignment and learning Z Yu, W Liu, Y Zou, C Feng, S Ramalingam, BVK Kumar, J Kautz Proceedings of the European conference on computer vision (ECCV), 388-404, 2018 | 85 | 2018 |
| Data augmentation via latent space interpolation for image classification X Liu, Y Zou, L Kong, Z Diao, J Yan, J Wang, S Li, P Jia, J You 2018 24th International Conference on Pattern Recognition (ICPR), 728-733, 2018 | 65 | 2018 |
| Ordinal regression with neuron stick-breaking for medical diagnosis X Liu, Y Zou, Y Song, C Yang, J You, BV K Vijaya Kumar Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 50 | 2018 |
| Spot-the-difference self-supervised pre-training for anomaly detection and segmentation Y Zou, J Jeong, L Pemula, D Zhang, O Dabeer European Conference on Computer Vision, 392-408, 2022 | 35 | 2022 |
| Conservative wasserstein training for pose estimation X Liu, Y Zou, T Che, P Ding, P Jia, J You, BVK Kumar Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 34 | 2019 |
| Unsupervised domain adaptation via calibrating uncertainties L Han, Y Zou, R Gao, L Wang, D Metaxas CVPR Workshops 9, 2019 | 32 | 2019 |
| Scale optimization for full-image-CNN vehicle detection Y Gao, S Guo, K Huang, J Chen, Q Gong, Y Zou, T Bai, G Overett 2017 IEEE Intelligent Vehicles Symposium (IV), 785-791, 2017 | 31 | 2017 |
| Uncertainty modeling and robust control for LCL resonant inductive power transfer system X Dai, Y Zou, Y Sun Journal of Power Electronics 13 (5), 814-828, 2013 | 28 | 2013 |
| Robust design optimisation for inductive power transfer systems from topology collection based on an evolutionary multi‐objective algorithm Y Zou, X Dai, W Li, Y Sun IET Power Electronics 8 (9), 1767-1776, 2015 | 26 | 2015 |
| A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification X Liu, Z Li, L Kong, Z Diao, J Yan, Y Zou, C Yang, P Jia, J You 2018 24th International Conference on Pattern Recognition (ICPR), 1493-1498, 2018 | 16 | 2018 |
| Winclip: Zero-/few-shot anomaly classification and segmentation J Jeong, Y Zou, T Kim, D Zhang, A Ravichandran, O Dabeer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Hard class rectification for domain adaptation Y Zhang, C Jing, H Lin, C Chen, Y Huang, X Ding, Y Zou Knowledge-Based Systems 222, 107011, 2021 | 7 | 2021 |
| Evolutionary multi-objective optimization of H∞ controller for inductive power transfer system X Dai, Y Zou, Y Sun, Z Wang, C Tang, AP Hu 2014 IEEE Energy Conversion Congress and Exposition (ECCE), 864-869, 2014 | 1 | 2014 |
| Domain adaptation for analysis of images J Wang, Y Zou, GJ Zou, V Bhagavatula US Patent 11,113,829, 2021 | | 2021 |
| Weakly Supervised Visual Understanding Y Zou Carnegie Mellon University, 2020 | | 2020 |
B. V. K. Vijaya KumarU.A. & Helen Whitaker Professor of ECEVerified email at ece.cmu.edu
