Wang, Qi

Learning From Synthetic Data for Crowd Counting in the Wild

Wang, Q., Gao, J., Lin, W., & Yuan, Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsDomain Adaptation and Few-Shot Learning

Cited by 654

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

Wang, Q., Gao, J., Lin, W., & Li, X. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 510

Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations

Ganju, K., Wang, Q., Yang, W., Gunter, C. A., & Borisov, N. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 475

Deep Multi-view Information Bottleneck

Wang, Q., Boudreau, C., Luo, Q., Tan, P.-N., & Zhou, J. (2019) · Proceedings of the 2019 SIAM International Conference on Data Mining

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 77

Memory-Augmented Temporal Dynamic Learning for Action Recognition

Yuan, Y., Wang, D., & Wang, Q. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 17