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Mo Zhou
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Ordinal Regression with Multiple Output CNN for Age Estimation
Z Niu, M Zhou, L Wang, X Gao, G Hua
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2016), 4920-4928, 2016
5602016
Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding
Z Niu, M Zhou, L Wang, X Gao, G Hua
IEEE International Conference on Computer Vision (ICCV'2017), 1881-1889, 2017
1602017
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
L Shi, L Wang, C Long, S Zhou, M Zhou, Z Niu, G Hua
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2021), 8994-9003, 2021
522021
Adversarial Ranking Attack and Defense
M Zhou, Z Niu, L Wang, Q Zhang, G Hua
European Conference on Computer Vision (ECCV'2020), 781--799, 2020
242020
Ladder Loss for Coherent Visual-Semantic Embedding
M Zhou, Z Niu, L Wang, Z Gao, Q Zhang, G Hua
AAAI Conference on Artificial Intelligence (AAAI'2020) 34 (07), 13050-13057, 2020
232020
Practical Relative Order Attack in Deep Ranking
M Zhou, L Wang, Z Niu, Q Zhang, Y Xu, N Zheng, G Hua
IEEE International Conference on Computer Vision (ICCV'2021), 2021
82021
Adaptive Ladder Loss for Learning Coherent Visual-Semantic Embedding
L Wang, M Zhou, Z Niu, Q Zhang, N Zheng
IEEE Transactions on Multimedia, 2021
22021
Enhancing Adversarial Robustness for Deep Metric Learning
M Zhou, VM Patel
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2022), 2022
12022
Adversarial Attack and Defense in Deep Ranking
M Zhou, L Wang, Z Niu, Q Zhang, N Zheng, G Hua
arXiv preprint arXiv:2106.03614, 2021
12021
Resource-Adaptive Federated Learning with All-In-One Neural Composition
Y Mei, P Guo, M Zhou, VM Patel
Advances in Neural Information Processing Systems (NeurIPS'2022), 2022
2022
On Trace of PGD-Like Adversarial Attacks
M Zhou, VM Patel
arXiv preprint arXiv:2205.09586, 2022
2022
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