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Zhengfa Liang
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2020 – today
- 2024
- [j12]Xin Luo, Wei Chen, Zhengfa Liang, Longqi Yang, Siwei Wang, Chen Li:
Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation. Int. J. Comput. Vis. 132(1): 20-39 (2024) - [c13]Yulin He, Wei Chen, Zhengfa Liang, Ke Liang, Yusong Tan, Tianrui Liu, Yulan Guo:
Don't Turn a Blind Eye to Localization Noise: Localization Pseudo-label Correction and Learning for Semi-Supervised Object Detection. ICME 2024: 1-6 - 2023
- [j11]Xin Luo, Wei Chen, Zhengfa Liang, Chen Li, Yusong Tan:
Adversarial style discrepancy minimization for unsupervised domain adaptation. Neural Networks 157: 216-225 (2023) - [c12]Wei Chen, Yulin He, Zhengfa Liang, Yulan Guo:
Adaptive Scale and Spatial Aggregation for Real-Time Object Detection. ICASSP 2023: 1-5 - [i6]Yulin He, Wei Chen, Ke Liang, Yusong Tan, Zhengfa Liang, Yulan Guo:
Pseudo-label Correction and Learning For Semi-Supervised Object Detection. CoRR abs/2303.02998 (2023) - 2022
- [j10]Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An:
Parallax Attention for Unsupervised Stereo Correspondence Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2108-2125 (2022) - [j9]Wei Chen, Xiaogang Jia, Mingfei Wu, Zhengfa Liang:
Multi-Dimensional Cooperative Network for Stereo Matching. IEEE Robotics Autom. Lett. 7(1): 581-587 (2022) - 2021
- [j8]Xiaogang Jia, Wei Chen, Zhengfa Liang:
Bidirectional Stereo Matching Network With Double Cost Volumes. IEEE Access 9: 19651-19658 (2021) - [j7]Zhengfa Liang, Yulan Guo, Yiliu Feng, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang, Hengzhu Liu:
Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 300-315 (2021) - [j6]Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Chen Li, Yulin He, Yusong Tan, Libo Huang:
A Joint 2D-3D Complementary Network for Stereo Matching. Sensors 21(4): 1430 (2021) - [c11]Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Yusong Tan, Libo Huang:
Multi-Scale Cascade Disparity Refinement Stereo Network. ICASSP 2021: 2110-2114 - [c10]Xiaogang Jia, Wei Chen, Chen Li, Zhengfa Liang, Mingfei Wu, Yusong Tan, Libo Huang:
Multi-Scale Cost Volumes Cascade Network for Stereo Matching. ICRA 2021: 8657-8663 - [c9]Yulin He, Wei Chen, Zhengfa Liang, Dan Chen, Yusong Tan, Xin Luo, Chen Li, Yulan Guo:
Fast and Accurate Lane Detection via Frequency Domain Learning. ACM Multimedia 2021: 890-898 - [i5]Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu:
Multi-Scale Cost Volumes Cascade Network for Stereo Matching. CoRR abs/2102.01940 (2021) - 2020
- [j5]Wei Chen, Xin Luo, Zhengfa Liang, Chen Li, Mingfei Wu, Yuanming Gao, Xiaogang Jia:
A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching. Remote. Sens. 12(3): 588 (2020) - [i4]Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An:
Parallax Attention for Unsupervised Stereo Correspondence Learning. CoRR abs/2009.08250 (2020)
2010 – 2019
- 2019
- [c8]Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang:
Multi-Level Context Ultra-Aggregation for Stereo Matching. CVPR 2019: 3283-3291 - [c7]Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo:
Learning Parallax Attention for Stereo Image Super-Resolution. CVPR 2019: 12250-12259 - [i3]Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo:
Learning Parallax Attention for Stereo Image Super-Resolution. CoRR abs/1903.05784 (2019) - 2018
- [c6]Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang:
Learning for Disparity Estimation Through Feature Constancy. CVPR 2018: 2811-2820 - 2017
- [j4]Kai Chen, Rongchun Li, Yong Dou, Zhengfa Liang, Qi Lv:
Ranking Support Vector Machine with Kernel Approximation. Comput. Intell. Neurosci. 2017: 4629534:1-4629534:9 (2017) - [c5]Yiliu Feng, Zhengfa Liang, Hengzhu Liu:
Efficient deep learning for stereo matching with larger image patches. CISP-BMEI 2017: 1-5 - [c4]Yiliu Feng, Zhengfa Liang, Hengzhu Liu:
Learning Generic Features from DEH Channels for Object Proposals Generation. SMARTCOMP 2017: 1-6 - [i2]Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Linbo Qiao, Wei Chen, Li Zhou, Jianfeng Zhang:
Learning Deep Correspondence through Prior and Posterior Feature Constancy. CoRR abs/1712.01039 (2017) - 2016
- [c3]Xiaolong Liu, Wanzeng Cai, Zhengfa Liang, Yiliu Feng:
A Coarse to Fine Object Proposal Framework for Autonomous Driving Object Detection Using Binocular Image. GRMSE (2) 2016: 218-227 - [c2]Zhengfa Liang, Xiaolong Liu, Hengzhu Liu, Wei Chen:
A refinement framework for background subtraction based on color and depth data. ICIP 2016: 271-275 - 2015
- [j3]Pengcheng Huang, Shuming Chen, Jianjun Chen, Zhenyu Wu, Zhengfa Liang, Chunmei Hu, Bin Liang, Biwei Liu:
Simulation study of N-hit SET variation in differential cascade voltage switch logical circuits. Sci. China Inf. Sci. 58(2): 1-9 (2015) - 2014
- [j2]Zhengfa Liang, Hengzhu Liu, Botao Zhang, Benzhang Wang:
Real-time hardware accelerator for single image haze removal using dark channel prior and guided filter. IEICE Electron. Express 11(24): 20141002 (2014) - [i1]Jian Zhao, Hengzhu Liu, Xucan Chen, Zhengfa Liang:
Realization and design of a pilot assist decision-making system based on speech recognition. CoRR abs/1406.2775 (2014) - 2012
- [j1]Dongpei Liu, Hengzhu Liu, Botao Zhang, Jianfeng Zhang, Shixian Wang, Zhengfa Liang:
Low Cost CORDIC-Based Configurable FFT/IFFT Processor for OFDM Systems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(10): 1683-1691 (2012) - [c1]Zhengfa Liang, Hengzhu Liu, Dongpei Liu, Liyong Zhang:
Low complexity frequency domain decision feedback turbo equalization with optimized symbol mapping. WCSP 2012: 1-4
Coauthor Index
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last updated on 2024-10-09 21:32 CEST by the dblp team
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