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Publication search results
found 40 matches
- 2025
- Daming Du
, Hua Zhu
, Hao Liang, Jiejun Peng, Zhengfang Qian
:
A Miniaturized and Low-Loss Phase Shifter Based on Slow-Waves and Liquid Crystal. IEEE Access 13: 78607-78617 (2025) - Xiaogang Jia, Songlei Jian, Yusong Tan, Yonggang Che, Wei Chen, Zhengfa Liang:
Gated Cross-Attention Network for Depth Completion. ICASSP 2025: 1-5 - Xiaogang Jia
, Songlei Jian
, Yusong Tan
, Yonggang Che
, Wei Chen
, Zhengfa Liang
, Yulin He
:
Hierarchical Neural Architecture Search for Fast and Accurate Depth Completion. ICMR 2025: 569-578 - 2024
- 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) - 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 - Zhixiang Guo, Xinming Wu, Luming Liang, Hanlin Sheng, Nuo Chen, Zhengfa Bi:
Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis. CoRR abs/2408.12396 (2024) - 2023
- Zhengfang Zhang
, Xiangjing Gao, Xiaoliang Cheng:
Numerical Estimation of the Inverse Eigenvalue Problem for a Weighted Helmholtz Equation. J. Sci. Comput. 96(1): 16 (2023) - Xin Luo
, Wei Chen, Zhengfa Liang, Chen Li
, Yusong Tan:
Adversarial style discrepancy minimization for unsupervised domain adaptation. Neural Networks 157: 216-225 (2023) - Wei Chen, Yulin He
, Zhengfa Liang, Yulan Guo:
Adaptive Scale and Spatial Aggregation for Real-Time Object Detection. ICASSP 2023: 1-5 - 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
- 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) - 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
- Xiaogang Jia
, Wei Chen, Zhengfa Liang
:
Bidirectional Stereo Matching Network With Double Cost Volumes. IEEE Access 9: 19651-19658 (2021) - 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) - 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) - 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 - 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 - 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 - 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
- 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) - 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) - 2019
- 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 - 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 - 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
- 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
- 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) - Yiliu Feng, Zhengfa Liang, Hengzhu Liu:
Efficient deep learning for stereo matching with larger image patches. CISP-BMEI 2017: 1-5 - Yiliu Feng, Zhengfa Liang, Hengzhu Liu:
Learning Generic Features from DEH Channels for Object Proposals Generation. SMARTCOMP 2017: 1-6 - 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
- 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
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