Shu Zhang

Affiliations:
  • Salesforce Research, Inc.
  • University of California at Riverside, Riverside, CA, USA (former)


According to our database1, Shu Zhang authored at least 13 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding.
CoRR, 2023

HIVE: Harnessing Human Feedback for Instructional Visual Editing.
CoRR, 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2016
Context-Aware Surveillance Video Summarization.
IEEE Trans. Image Process., 2016

Adaptive Algorithm and Platform Selection for Visual Detection and Tracking.
CoRR, 2016

Adaptive algorithm selection, with applications in pedestrian detection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Wide-Area Video Understanding: Tracking, Video Summarization and Algorithm-Platform Co-Design.
PhD thesis, 2015

Tracking multiple interacting targets in a camera network.
Comput. Vis. Image Underst., 2015

A Camera Network Tracking (CamNeT) Dataset and Performance Baseline.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Video summarization through change detection in a non-overlapping camera network.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2013
Online Social Behavior Modeling for Multi-target Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013


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