| 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 | 2777 | 2017 |
| Large-Margin Softmax Loss for Convolutional Neural Networks. W Liu, Y Wen, Z Yu, M Yang International Conference on Machine Learning (ICML), 2016, 2016 | 1523 | 2016 |
| 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 | 1255 | 2021 |
| 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 | 1097 | 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 | 709 | 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 | 663 | 2015 |
| Confidence Regularized Self-Training Y Zou, Z Yu, X Liu, BVK Kumar, J Wang IEEE/CVF International Conference on Computer Vision (ICCV), 2019, 2019 | 621 | 2019 |
| 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 | 294 | 2017 |
| 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 | 229 | 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 | 178 | 2020 |
| 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 | 161 | 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 | 146 | 2010 |
| 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 | 128 | 2017 |
| 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 | 120 | 2020 |
| 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 | 119 | 2018 |
| Simultaneous Edge Alignment and Learning Z Yu, W Liu, Y Zou, C Feng, S Ramalingam, BVKV Kumar, J Kautz European Conference on Computer Vision (ECCV), 2018, 2018 | 81 | 2018 |
| 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 | 79 | 2018 |
| Efficient autism spectrum disorder prediction with eye movement: A machine learning framework W Liu, Z Yu, B Raj, L Yi, X Zou, M Li Int. Conf. on Affective Computing and Intelligent Interaction (ACII), 2015, 2015 | 67 | 2015 |
| 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 | 66 | 2022 |
| Delving Deeper into Anti-aliasing in ConvNets X Zou, F Xiao, Z Yu, YJ Lee British Machine Vision Conference (BMVC), 2020, 2020 | 62 | 2020 |
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
