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Guanzhong Tian
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2020 – today
- 2024
- [j15]Yuhu Bai, Jiangning Zhang, Zhaofeng Chen, Yuhang Dong, Yunkang Cao, Guanzhong Tian:
Dual-path Frequency Discriminators for few-shot anomaly detection. Knowl. Based Syst. 302: 112397 (2024) - [j14]Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu:
Learning Multi-Agent Cooperation via Considering Actions of Teammates. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11553-11564 (2024) - [i10]Yuhu Bai, Jiangning Zhang, Yuhang Dong, Guanzhong Tian, Liang Liu, Yunkang Cao, Yabiao Wang, Chengjie Wang:
Dual-path Frequency Discriminators for Few-shot Anomaly Detection. CoRR abs/2403.04151 (2024) - [i9]Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie:
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection. CoRR abs/2404.06564 (2024) - [i8]Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao:
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark. CoRR abs/2404.10760 (2024) - [i7]Haoyang He, Jiangning Zhang, Guanzhong Tian, Chengjie Wang, Lei Xie:
Learning Multi-view Anomaly Detection. CoRR abs/2407.11935 (2024) - 2023
- [j13]Yingqing Yang, Guanzhong Tian, Mingyuan Liu, Yihao Chen, Jun Chen, Yong Liu, Yu Pan, Longhua Ma:
Pse: mixed quantization framework of neural networks for efficient deployment. J. Real Time Image Process. 20(6): 113 (2023) - [j12]Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-free quantization via mixed-precision compensation without fine-tuning. Pattern Recognit. 143: 109780 (2023) - [j11]Haoyang He, Zhishan Li, Guanzhong Tian, Hongxu Chen, Lei Xie, Shan Lu, Hongye Su:
Towards accurate dense pedestrian detection via occlusion-prediction aware label assignment and hierarchical-NMS. Pattern Recognit. Lett. 174: 78-84 (2023) - [j10]Zetao Xia, Yining Wang, Longhua Ma, Yang Zhu, Yongjie Li, Jili Tao, Guanzhong Tian:
A Hybrid Prognostic Method for Proton-Exchange-Membrane Fuel Cell with Decomposition Forecasting Framework Based on AEKF and LSTM. Sensors 23(1): 166 (2023) - [c6]Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang:
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection. CVPR 2023: 7370-7379 - [c5]Juntao Jiang, Xiyu Chen, Guanzhong Tian, Yong Liu:
ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation. ISBI 2023: 1-5 - [c4]Ruoyu Wu, Guanzhong Tian, Longhua Ma, Zhishan Li, Shanqi Liu:
Lightweight Cryptography Implementation for Internet of Things Network on FPGA. SMC 2023: 3027-3032 - [i6]Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang:
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection. CoRR abs/2303.09061 (2023) - [i5]Juntao Jiang, Xiyu Chen, Guanzhong Tian, Yong Liu:
ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation. CoRR abs/2306.04905 (2023) - [i4]Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning. CoRR abs/2307.00498 (2023) - [i3]Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Yong Liu:
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions. CoRR abs/2307.02200 (2023) - [i2]Xuhai Chen, Jiangning Zhang, Guanzhong Tian, Haoyang He, Wuhao Zhang, Yabiao Wang, Chengjie Wang, Yunsheng Wu, Yong Liu:
CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection. CoRR abs/2311.00453 (2023) - 2022
- [j9]Ruoyu Wu, Ming Xu, Yingqing Yang, Guanzhong Tian, Ping Yu, Yangfan Zhao, Bin Lian, Longhua Ma:
Efficient High-Radix GF(p) Montgomery Modular Multiplication Via Deep Use Of Multipliers. IEEE Trans. Circuits Syst. II Express Briefs 69(12): 5099-5103 (2022) - [j8]Chao Xu, Jiangning Zhang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Multilevel Spatial-Temporal Feature Aggregation for Video Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7809-7820 (2022) - [j7]Mengmeng Wang, Jianbiao Mei, Lina Liu, Guanzhong Tian, Yong Liu, Zaisheng Pan:
Delving Deeper Into Mask Utilization in Video Object Segmentation. IEEE Trans. Image Process. 31: 6255-6266 (2022) - [c3]Yihao Chen, Zhishan Li, Yingqing Yang, Lei Xie, Yong Liu, Longhua Ma, Shanqi Liu, Guanzhong Tian:
CICC: Channel Pruning via the Concentration of Information and Contributions of Channels. BMVC 2022: 243 - [c2]Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu:
Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping. ECCV (15) 2022: 54-71 - 2021
- [j6]Xianfang Zeng, Yusu Pan, Hao Zhang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Unpaired salient object translation via spatial attention prior. Neurocomputing 453: 718-730 (2021) - [j5]Zhishan Li, Yiran Sun, Guanzhong Tian, Lei Xie, Yong Liu, Hongye Su, Yifan He:
A compression pipeline for one-stage object detection model. J. Real Time Image Process. 18(6): 1949-1962 (2021) - [j4]Zhishan Li, Yiran Sun, Guanzhong Tian, Lei Xie, Yong Liu, Hongye Su, Yifan He:
Correction to: A compression pipeline for one-stage object detection model. J. Real Time Image Process. 18(6): 1963-1964 (2021) - [j3]Guanzhong Tian, Jun Chen, Xianfang Zeng, Yong Liu:
Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing. IEEE Signal Process. Lett. 28: 344-348 (2021) - 2020
- [j2]JongHyok Ri, Guanzhong Tian, Yong Liu, Wei-Hua Xu, Jungang Lou:
Extreme learning machine with hybrid cost function of G-mean and probability for imbalance learning. Int. J. Mach. Learn. Cybern. 11(9): 2007-2020 (2020)
2010 – 2019
- 2019
- [j1]Guanzhong Tian, Liang Liu, JongHyok Ri, Yong Liu, Yiran Sun:
ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks. Neurocomputing 345: 3-14 (2019) - [c1]Guanzhong Tian, Yi Yuan, Yong Liu:
Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks. ICME Workshops 2019: 366-371 - [i1]Guanzhong Tian, Yi Yuan, Yong Liu:
Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks. CoRR abs/1905.11142 (2019)
Coauthor Index
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last updated on 2024-09-21 23:34 CEST by the dblp team
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