Sphereface: Deep hypersphere embedding for face recognition W Liu, Y Wen, Z Yu, M Li, B Raj, L Song IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 3280 | 2017 |
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers E Xie, W Wang, Z Yu, A Anandkumar, JM Alvarez, P Luo Conference on Neural Information Processing Systems (NeurIPS), 2021, 2021 | 3248 | 2021 |
Large-Margin Softmax Loss for Convolutional Neural Networks. W Liu, Y Wen, Z Yu, M Yang International Conference on Machine Learning (ICML), 2016, 2016 | 1747 | 2016 |
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training Y Zou*, Z Yu*, BVKV Kumar, J Wang European Conference on Computer Vision (ECCV), 2018, 2018 | 1475 | 2018 |
Joint Discriminative and Generative Learning for Person Re-identification Z Zheng, X Yang, Z Yu, L Zheng, Y Yang, J Kautz IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 892 | 2019 |
Confidence Regularized Self-Training Y Zou, Z Yu, X Liu, BVK Kumar, J Wang IEEE/CVF International Conference on Computer Vision (ICCV), 2019, 2019 | 847 | 2019 |
Image based static facial expression recognition with multiple deep network learning Z Yu, C Zhang ACM International Conference on Multimodal Interaction (ICMI), 2015, 2015 | 724 | 2015 |
CASENet: Deep category-aware semantic edge detection Z Yu*, C Feng*, MY Liu, S Ramalingam IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 349 | 2017 |
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification Y Zou, X Yang, Z Yu, BVKV Kumar, J Kautz European Conference on Computer Vision (ECCV), 2020, 2020 | 273 | 2020 |
Constructing the L2-graph for robust subspace learning and subspace clustering X Peng, Z Yu, Z Yi, H Tang IEEE Transactions on Cybernetics 47 (4), 1053-1066, 2017 | 246 | 2017 |
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection Z Ren, Z Yu, X Yang, MY Liu, YJ Lee, AG Schwing, J Kautz IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 219 | 2020 |
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Medical Image Analysis (MEDIA), 2020, 2020 | 204 | 2020 |
An adaptive unsupervised approach toward pixel clustering and color image segmentation Z Yu, OC Au, R Zou, W Yu, J Tian Pattern recognition 43 (5), 1889-1906, 2010 | 154 | 2010 |
Test-time prompt tuning for zero-shot generalization in vision-language models M Shu, W Nie, DA Huang, Z Yu, T Goldstein, A Anandkumar, C Xiao Advances in Neural Information Processing Systems 35, 14274-14289, 2022 | 153 | 2022 |
Learning towards Minimum Hyperspherical Energy W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song Conference on Neural Information Processing Systems (NeurIPS), 2018, 2018 | 147 | 2018 |
Deep Hyperspherical Learning W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song Conference on Neural Information Processing Systems (NIPS), 2017, 2017 | 144 | 2017 |
Understanding the robustness in vision transformers D Zhou, Z Yu, E Xie, C Xiao, A Anandkumar, J Feng, JM Alvarez International Conference on Machine Learning, 27378-27394, 2022 | 142 | 2022 |
Panoptic SegFormer: Delving deeper into panoptic segmentation with transformers Z Li, W Wang, E Xie, Z Yu, A Anandkumar, JM Alvarez, T Lu, P Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 132* | 2022 |
M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation E Xie, Z Yu, D Zhou, J Philion, A Anandkumar, S Fidler, P Luo, JM Alvarez arXiv preprint arXiv:2204.05088, 2022 | 132 | 2022 |
Partial Convolution based Padding G Liu, KJ Shih, TC Wang, FA Reda, K Sapra, Z Yu, A Tao, B Catanzaro arXiv preprint arXiv:1811.11718, 2018 | 103 | 2018 |