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Zhiding Yu
Zhiding Yu
Principal Research Scientist & Research Lead, NVIDIA Research
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
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
33092021
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
33022017
Large-Margin Softmax Loss for Convolutional Neural Networks.
W Liu, Y Wen, Z Yu, M Yang
International Conference on Machine Learning (ICML), 2016, 2016
17562016
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
14852018
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
8922019
Confidence Regularized Self-Training
Y Zou, Z Yu, X Liu, BVK Kumar, J Wang
IEEE/CVF International Conference on Computer Vision (ICCV), 2019, 2019
8532019
Image based static facial expression recognition with multiple deep network learning
Z Yu, C Zhang
ACM International Conference on Multimodal Interaction (ICMI), 2015, 2015
7282015
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
3502017
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
2752020
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
2462017
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
2202020
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
2062020
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
1552010
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
1542022
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
1472018
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
1442017
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
1422022
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
1362022
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
133*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
1032018
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Articles 1–20