Shu Zhang

According to our database, Shu Zhang authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.

Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu

CoRR, 2024

ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding.

Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HIVE: Harnessing Human Feedback for Instructional Visual Editing.

Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

CoRR, 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.

Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu

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.

Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework.

Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2016

Context-Aware Surveillance Video Summarization.

Shu Zhang, Yingying Zhu, Amit K. Roy-Chowdhury

IEEE Trans. Image Process., 2016

Adaptive Algorithm and Platform Selection for Visual Detection and Tracking.

Shu Zhang, Qi Zhu, Amit K. Roy-Chowdhury

CoRR, 2016

Adaptive algorithm selection, with applications in pedestrian detection.

Shu Zhang, Qi Zhu, Amit K. Roy-Chowdhury

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

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

Shu Zhang

PhD thesis, 2015

Tracking multiple interacting targets in a camera network.

Shu Zhang, Yingying Zhu, Amit K. Roy-Chowdhury

Comput. Vis. Image Underst., 2015

A Camera Network Tracking (CamNeT) Dataset and Performance Baseline.

Shu Zhang, Elliot Staudt, Tim Faltemier, Amit K. Roy-Chowdhury

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Video summarization through change detection in a non-overlapping camera network.

Shu Zhang, Amit K. Roy-Chowdhury

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2013

Online Social Behavior Modeling for Multi-target Tracking.

Shu Zhang, Abir Das, Chong Ding, Amit K. Roy-Chowdhury

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013