Guanzhong Tian

According to our database, Guanzhong Tian authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

Dual-path Frequency Discriminators for Few-shot Anomaly Detection.

Yuhu Bai, Jiangning Zhang, Yuhang Dong, Guanzhong Tian, Liang Liu, Yunkang Cao, Yabiao Wang, Chengjie Wang

CoRR, 2024

2023

Pse: mixed quantization framework of neural networks for efficient deployment.

Yingqing Yang, Guanzhong Tian, Mingyuan Liu, Yihao Chen, Jun Chen, Yong Liu, Yu Pan, Longhua Ma

J. Real Time Image Process., December, 2023

Data-free quantization via mixed-precision compensation without fine-tuning.

Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu

Pattern Recognit., November, 2023

Towards accurate dense pedestrian detection via occlusion-prediction aware label assignment and hierarchical-NMS.

Haoyang He, Zhishan Li, Guanzhong Tian, Hongxu Chen, Lei Xie, Shan Lu, Hongye Su

Pattern Recognit. Lett., October, 2023

A Hybrid Prognostic Method for Proton-Exchange-Membrane Fuel Cell with Decomposition Forecasting Framework Based on AEKF and LSTM.

Zetao Xia, Yining Wang, Longhua Ma, Yang Zhu, Yongjie Li, Jili Tao, Guanzhong Tian

Sensors, 2023

CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection.

Xuhai Chen, Jiangning Zhang, Guanzhong Tian, Haoyang He, Wuhao Zhang, Yabiao Wang, Chengjie Wang, Yunsheng Wu, Yong Liu

CoRR, 2023

Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions.

Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Yong Liu

CoRR, 2023

Lightweight Cryptography Implementation for Internet of Things Network on FPGA.

Ruoyu Wu, Guanzhong Tian, Longhua Ma, Zhishan Li, Shanqi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation.

Juntao Jiang, Xiyu Chen, Guanzhong Tian, Yong Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection.

Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Delving Deeper Into Mask Utilization in Video Object Segmentation.

Mengmeng Wang, Jianbiao Mei, Lina Liu, Guanzhong Tian, Yong Liu, Zaisheng Pan

IEEE Trans. Image Process., 2022

Multilevel Spatial-Temporal Feature Aggregation for Video Object Detection.

Chao Xu, Jiangning Zhang, Mengmeng Wang, Guanzhong Tian, Yong Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Efficient High-Radix GF(p) Montgomery Modular Multiplication Via Deep Use Of Multipliers.

Ruoyu Wu, Ming Xu, Yingqing Yang, Guanzhong Tian, Ping Yu, Yangfan Zhao, Bin Lian, Longhua Ma

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping.

Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

CICC: Channel Pruning via the Concentration of Information and Contributions of Channels.

Yihao Chen, Zhishan Li, Yingqing Yang, Lei Xie, Yong Liu, Longhua Ma, Shanqi Liu, Guanzhong Tian

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing.

Guanzhong Tian, Jun Chen, Xianfang Zeng, Yong Liu

IEEE Signal Process. Lett., 2021

Correction to: A compression pipeline for one-stage object detection model.

Zhishan Li, Yiran Sun, Guanzhong Tian, Lei Xie, Yong Liu, Hongye Su, Yifan He

J. Real Time Image Process., 2021

A compression pipeline for one-stage object detection model.

Zhishan Li, Yiran Sun, Guanzhong Tian, Lei Xie, Yong Liu, Hongye Su, Yifan He

J. Real Time Image Process., 2021

Unpaired salient object translation via spatial attention prior.

Xianfang Zeng, Yusu Pan, Hao Zhang, Mengmeng Wang, Guanzhong Tian, Yong Liu

Neurocomputing, 2021

2020

Extreme learning machine with hybrid cost function of G-mean and probability for imbalance learning.

JongHyok Ri, Guanzhong Tian, Yong Liu, Wei-Hua Xu, Jungang Lou

Int. J. Mach. Learn. Cybern., 2020

2019

ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks.

Guanzhong Tian, Liang Liu, JongHyok Ri, Yong Liu, Yiran Sun

Neurocomputing, 2019

Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks.

Guanzhong Tian, Yi Yuan, Yong Liu

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019