Search Results for author: Shiqiang Zhu

Found 7 papers, 2 papers with code

Dynamic DNN Decomposition for Lossless Synergistic Inference

no code implementations15 Jan 2021 Beibei Zhang, Tian Xiang, Hongxuan Zhang, Te Li, Shiqiang Zhu, Jianjun Gu

The algorithm can partially adjust the partitions at run time according to processing time and network conditions.

Edge-computing

BCOT: A Markerless High-Precision 3D Object Tracking Benchmark

no code implementations CVPR 2022 Jiachen Li, Bin Wang, Shiqiang Zhu, Xin Cao, Fan Zhong, Wenxuan Chen, Te Li, Jason Gu, Xueying Qin

Our new benchmark dataset contains 20 textureless objects, 22 scenes, 404 video sequences and 126K images captured in real scenes.

3D Object Tracking Object +2

TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot

1 code implementation8 Jul 2022 Wen Wang, Shunda Hu, Shiqiang Zhu, Wei Song, Zheyuan Lin, Tianlei Jin, Zonghao Mu, Yuanhai Zhou

A service robot serving safely and politely needs to track the surrounding people robustly, especially for Tour-Guide Robot (TGR).

Multi-Object Tracking

End-To-End Audiovisual Feature Fusion for Active Speaker Detection

no code implementations27 Jul 2022 Fiseha B. Tesema, Zheyuan Lin, Shiqiang Zhu, Wei Song, Jason Gu, Hong Wu

After fusion, one BiGRU layer is attached to model the joint temporal dynamics.

Intelligent Computing: The Latest Advances, Challenges and Future

no code implementations21 Nov 2022 Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gunduz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan

In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications.

Fast Contextual Scene Graph Generation With Unbiased Context Augmentation

no code implementations CVPR 2023 Tianlei Jin, Fangtai Guo, Qiwei Meng, Shiqiang Zhu, Xiangming Xi, Wen Wang, Zonghao Mu, Wei Song

Therefore, at the context level, we can produce diverse context descriptions by using a context augmentation method based on the original dataset.

Graph Generation Scene Graph Generation

Cannot find the paper you are looking for? You can Submit a new open access paper.