Guanzhong Tian

According to our database, Guanzhong Tian authored at least 41 papers between 2019 and 2026.

Collaborative distances:

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

2026

Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.

Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Li, Guansong Pang, Dacheng Tao

Int. J. Comput. Vis., May, 2026

GS-Loc: A Vision Foundation Model-Driven 3D Gaussian Splatting Framework for Robust Visual Relocalization.

Yupei Zeng, Yuhang Dong, Xuanhua Chen, Guangyuan Lu, Runjian Li, Jiajun Lv, Longhua Ma, Guanzhong Tian

IEEE Robotics Autom. Lett., January, 2026

Learning Multi-View Anomaly Detection With Efficient Adaptive Selection.

Haoyang He, Jiangning Zhang, Guanzhong Tian, Chengjie Wang, Lei Xie

IEEE Trans. Multim., 2026

2025

ImitDiff: Transferring Foundation-Model Priors for Distraction-Robust Visuomotor Policy.

Yuhang Dong, Haizhou Ge, Yupei Zeng, Jiangning Zhang, Beiwen Tian, Hongrui Zhu, Yufei Jia, Ruixiang Wang, Zhucun Xue, Guyue Zhou, Longhua Ma, Guanzhong Tian

IEEE Robotics Autom. Lett., November, 2025

Wavelet Policy: Imitation Policy Learning in Frequency Domain with Wavelet Transforms.

Changchuan Yang, Yuhang Dong, Guanzhong Tian, Haizhou Ge, Hongrui Zhu

CoRR, April, 2025

Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention.

Guanzhong Tian, Yiran Sun, Yuang Liu, Xianfang Zeng, Mengmeng Wang, Yong Liu, Jiangning Zhang, Jun Chen

IEEE Trans. Neural Networks Learn. Syst., March, 2025

MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning.

Siqi Li, Jun Chen, Shanqi Liu, Chengrui Zhu, Guanzhong Tian, Yong Liu

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Imit Diff: Semantics Guided Diffusion Transformer with Dual Resolution Fusion for Imitation Learning.

Yuhang Dong, Haizhou Ge, Yupei Zeng, Jiangning Zhang, Beiwen Tian, Guanzhong Tian, Hongrui Zhu, Yufei Jia, Ruixiang Wang, Ran Yi, Guyue Zhou, Longhua Ma

CoRR, February, 2025

Efficient Parallel Hardware Architecture for GF(p) Elliptic Curve Point Multiplication on FPGA.

Ruoyu Wu, Binchao Yu, Zhaofeng Chen, Xiangyu Li, Guanzhong Tian

Int. J. Circuit Theory Appl., 2025

DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments.

Yufei Jia, Guangyu Wang, Yuhang Dong, Junzhe Wu, Yupei Zeng, Haonan Lin, Zifan Wang, Haizhou Ge, Weibin Gu, Kairui Ding, Zike Yan, Yunjie Cheng, Yue Li, Ziming Wang, Chuxuan Li, Wei Sui, Lu Shi, Guanzhong Tian, Ruqi Huang, Guyue Zhou

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Bridge Feature Matching and Cross-Modal Alignment with Mutual-Filtering for Zero-Shot Anomaly Detection.

Yuhu Bai, Jiangning Zhang, Yunkang Cao, Guangyuan Lu, Qingdong He, Xiangtai Li, Guanzhong Tian

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Learning Multi-Agent Cooperation via Considering Actions of Teammates.

Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Dual-path Frequency Discriminators for few-shot anomaly detection.

Yuhu Bai, Jiangning Zhang, Zhaofeng Chen, Yuhang Dong, Yunkang Cao, Guanzhong Tian

Knowl. Based Syst., 2024

Learning Multi-view Anomaly Detection.

Haoyang He, Jiangning Zhang, Guanzhong Tian, Chengjie Wang, Lei Xie

CoRR, 2024

Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.

Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao

CoRR, 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

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Locate N' Rotate: Two-Stage Openable Part Detection with Foundation Model Priors.

Siqi Li, Xiaoxue Chen, Haoyu Cheng, Guyue Zhou, Hao Zhao, Guanzhong Tian

Proceedings of the Computer Vision - ACCV 2024, 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

Deep Superpixel Convolutional Network for Image Recognition.

Xianfang Zeng, Wenxuan Wu, Guanzhong Tian, Fuxin Li, Yong Liu

IEEE Signal Process. Lett., 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

SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network.

Xianfang Zeng, Jiangning Zhang, Liang Liu, Guanzhong Tian, Yong Liu

CoRR, 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