Shuang Wu

Orcid: 0000-0003-1237-2656

Affiliations:
  • YouTu Laboratory, Tencent, Shanghai, China
  • Shanghai Jiao Tong University, Shanghai, China


According to our database1, Shuang Wu authored at least 30 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Query-Efficient Decision-Based Black-Box Patch Attack.
IEEE Trans. Inf. Forensics Secur., 2023

Towards Generalizable Data Protection With Transferable Unlearnable Examples.
CoRR, 2023

Re-thinking Data Availablity Attacks Against Deep Neural Networks.
CoRR, 2023

Content-based Unrestricted Adversarial Attack.
CoRR, 2023

Delving into the Adversarial Robustness of Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DENSE: Data-Free One-Shot Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Learning with Label Distribution Skew via Logits Calibration.
Proceedings of the International Conference on Machine Learning, 2022

Shape Matters: Deformable Patch Attack.
Proceedings of the Computer Vision - ECCV 2022, 2022

Detecting Camouflaged Object in Frequency Domain.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Practical Certifiable Patch Defense with Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Efficient Data Free Blackbox Adversarial Attack.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Robust and Efficient Graph Correspondence Transfer for Person Re-Identification.
IEEE Trans. Image Process., 2021

A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity.
CoRR, 2021

Detecting Adversarial Patch Attacks through Global-local Consistency.
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

2018
Graph Correspondence Transfer for Person Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Joint dictionary and metric learning for person re-identification.
Pattern Recognit., 2017

Motion sketch based crowd video retrieval.
Multim. Tools Appl., 2017

Bilinear dynamics for crowd video analysis.
J. Vis. Commun. Image Represent., 2017

Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories.
Int. J. Comput. Vis., 2017

Data Generation for Improving Person Re-identification.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Motion sketch based crowd video retrieval via motion structure coding.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Crowd semantic segmentation based on spatial-temporal dynamics.
Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015
Hierarchical video summarization with loitering indication.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

Towards active annotation for detection of numerous and scattered objects.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Kernelized View Adaptive Subspace Learning for Person Re-identification.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
SAGTA: Semi-automatic Ground Truth Annotation in crowd scenes.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Flux based pedestrian flow estimation in occluded scenes.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014

2013
Video Sensor-Based Complex Scene Analysis with Granger Causality.
Sensors, 2013

2012
Abnormal crowd behavior detection based on local pressure model.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012


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