Zhengfa Liang

According to our database, Zhengfa Liang authored at least 29 papers between 2012 and 2024.

Collaborative distances:

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

2024

Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation.

Xin Luo, Wei Chen, Zhengfa Liang, Longqi Yang, Siwei Wang, Chen Li

Int. J. Comput. Vis., January, 2024

Don't Turn a Blind Eye to Localization Noise: Localization Pseudo-label Correction and Learning for Semi-Supervised Object Detection.

Yulin He, Wei Chen, Zhengfa Liang, Ke Liang, Yusong Tan, Tianrui Liu, Yulan Guo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Adversarial style discrepancy minimization for unsupervised domain adaptation.

Xin Luo, Wei Chen, Zhengfa Liang, Chen Li, Yusong Tan

Neural Networks, 2023

Pseudo-label Correction and Learning For Semi-Supervised Object Detection.

Yulin He, Wei Chen, Ke Liang, Yusong Tan, Zhengfa Liang, Yulan Guo

CoRR, 2023

Adaptive Scale and Spatial Aggregation for Real-Time Object Detection.

Wei Chen, Yulin He, Zhengfa Liang, Yulan Guo

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Multi-Dimensional Cooperative Network for Stereo Matching.

Wei Chen, Xiaogang Jia, Mingfei Wu, Zhengfa Liang

IEEE Robotics Autom. Lett., 2022

Parallax Attention for Unsupervised Stereo Correspondence Learning.

Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

A Joint 2D-3D Complementary Network for Stereo Matching.

Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Chen Li, Yulin He, Yusong Tan, Libo Huang

Sensors, 2021

Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy.

Zhengfa Liang, Yulan Guo, Yiliu Feng, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang, Hengzhu Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Multi-Scale Cost Volumes Cascade Network for Stereo Matching.

Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu

CoRR, 2021

Bidirectional Stereo Matching Network With Double Cost Volumes.

Xiaogang Jia, Wei Chen, Zhengfa Liang

IEEE Access, 2021

Fast and Accurate Lane Detection via Frequency Domain Learning.

Yulin He, Wei Chen, Zhengfa Liang, Dan Chen, Yusong Tan, Xin Luo, Chen Li, Yulan Guo

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-Scale Cost Volumes Cascade Network for Stereo Matching.

Xiaogang Jia, Wei Chen, Chen Li, Zhengfa Liang, Mingfei Wu, Yusong Tan, Libo Huang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multi-Scale Cascade Disparity Refinement Stereo Network.

Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Yusong Tan, Libo Huang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching.

Wei Chen, Xin Luo, Zhengfa Liang, Chen Li, Mingfei Wu, Yuanming Gao, Xiaogang Jia

Remote. Sens., 2020

2019

Learning Parallax Attention for Stereo Image Super-Resolution.

Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Multi-Level Context Ultra-Aggregation for Stereo Matching.

Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning for Disparity Estimation Through Feature Constancy.

Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning Deep Correspondence through Prior and Posterior Feature Constancy.

Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Linbo Qiao, Wei Chen, Li Zhou, Jianfeng Zhang

CoRR, 2017

Ranking Support Vector Machine with Kernel Approximation.

Kai Chen, Rongchun Li, Yong Dou, Zhengfa Liang, Qi Lv

Comput. Intell. Neurosci., 2017

Learning Generic Features from DEH Channels for Object Proposals Generation.

Yiliu Feng, Zhengfa Liang, Hengzhu Liu

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

Efficient deep learning for stereo matching with larger image patches.

Yiliu Feng, Zhengfa Liang, Hengzhu Liu

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

A refinement framework for background subtraction based on color and depth data.

Zhengfa Liang, Xiaolong Liu, Hengzhu Liu, Wei Chen

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A Coarse to Fine Object Proposal Framework for Autonomous Driving Object Detection Using Binocular Image.

Xiaolong Liu, Wanzeng Cai, Zhengfa Liang, Yiliu Feng

Proceedings of the Geo-Spatial Knowledge and Intelligence, 2016

2015

Simulation study of N-hit SET variation in differential cascade voltage switch logical circuits.

Pengcheng Huang, Shuming Chen, Jianjun Chen, Zhenyu Wu, Zhengfa Liang, Chunmei Hu, Bin Liang, Biwei Liu

Sci. China Inf. Sci., 2015

2014

Real-time hardware accelerator for single image haze removal using dark channel prior and guided filter.

Zhengfa Liang, Hengzhu Liu, Botao Zhang, Benzhang Wang

IEICE Electron. Express, 2014

Realization and design of a pilot assist decision-making system based on speech recognition.

Jian Zhao, Hengzhu Liu, Xucan Chen, Zhengfa Liang

CoRR, 2014

2012

Low Cost CORDIC-Based Configurable FFT/IFFT Processor for OFDM Systems.

Dongpei Liu, Hengzhu Liu, Botao Zhang, Jianfeng Zhang, Shixian Wang, Zhengfa Liang

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012

Low complexity frequency domain decision feedback turbo equalization with optimized symbol mapping.

Zhengfa Liang, Hengzhu Liu, Dongpei Liu, Liyong Zhang

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012