Zongqing Lu

According to our database, Zongqing Lu authored at least 68 papers between 2005 and 2025.

Collaborative distances:

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

2025

UV Gaussians: Joint learning of mesh deformation and Gaussian textures for human avatar modeling.

Yujiao Jiang, Qingmin Liao, Xiaoyu Li, Li Ma, Qi Zhang, Chaopeng Zhang, Zongqing Lu, Ying Shan

Knowl. Based Syst., 2025

2024

LNMVSNet: A Low-Noise Multi-View Stereo Depth Inference Method for 3D Reconstruction.

Weiming Luo, Zongqing Lu, Qingmin Liao

Sensors, April, 2024

Dual Correlation Network for Efficient Video Semantic Segmentation.

Shumin An, Qingmin Liao, Zongqing Lu, Jing-Hao Xue

IEEE Trans. Circuits Syst. Video Technol., March, 2024

Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning.

Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang

CoRR, 2024

AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation.

Teng Li, Liwen Zhang, Youcheng Zhang, ZijunHu, Pengcheng Pi, Zongqing Lu, Qingmin Liao, Zhe Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Cross-Patch Relation Enhanced for Weakly Supervised Semantic Segmentation.

Huiqing Su, Wenqin Huang, Qingmin Liao, Zongqing Lu

Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-Dimensional Attention on Cost Volume for Stereo Matching.

Zhou Jiale, Wenqin Huang, Qingmin Liao, Zongqing Lu, Xiaoqian Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation.

Li Dinghang, Zongqing Lu, Weiliang Zheng, Qingmin Liao, Fan Lyu

Proceedings of the International Joint Conference on Neural Networks, 2024

FusionDreamer: Consistent Images Generation from Sparse-view Images.

Yige Wang, Risheng Huang, Haozhi Huang, Zongqing Lu

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

SMPLX-Lite: A Realistic and Drivable Avatar Benchmark with Rich Geometry and Texture Annotations.

Yujiao Jiang, Qingmin Liao, Zhaolong Wang, Xiangru Lin, Zongqing Lu, Yuxi Zhao, Hanqing Wei, Jingrui Ye, Yu Zhang, Zhijing Shao

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

LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning.

Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-supervised Learning.

Xin Yue, Zongqing Lu, Xiangru Lin, Wenjia Ren, Zhijing Shao, Haonan Hu, Yu Zhang, Qingmin Liao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.

Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao

IEEE Trans. Multim., 2023

Elucidating the solution space of extended reverse-time SDE for diffusion models.

Qinpeng Cui, Xinyi Zhang, Zongqing Lu, Qingmin Liao

CoRR, 2023

Patchmatch Stereo++: Patchmatch Binocular Stereo with Continuous Disparity Optimization.

Wenjia Ren, Qingmin Liao, Zhijing Shao, Xiangru Lin, Xin Yue, Yu Zhang, Zongqing Lu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation.

Jiawei Xu, Zongqing Lu, Qingmin Liao

Proceedings of the IEEE International Conference on Image Processing, 2023

Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer.

Kai Tian, Mengze Pan, Zongqing Lu, Qingmin Liao

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Deep Learning in Lane Marking Detection: A Survey.

Youcheng Zhang, Zongqing Lu, Xuechen Zhang, Jing-Hao Xue, Qingmin Liao

IEEE Trans. Intell. Transp. Syst., 2022

Efficient Semantic Segmentation via Self-Attention and Self-Distillation.

Shumin An, Qingmin Liao, Zongqing Lu, Jing-Hao Xue

IEEE Trans. Intell. Transp. Syst., 2022

2021

Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN.

Youcheng Zhang, Zongqing Lu, Dongdong Ma, Jing-Hao Xue, Qingmin Liao

IEEE Trans. Intell. Transp. Syst., 2021

Guest Editorial: Special issue on deep learning with small samples.

Jing-Hao Xue, Jufeng Yang, Xiaoxu Li, Yan Yan, Yujiu Yang, Zongqing Lu, Zhanyu Ma

Neurocomputing, 2021

SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes.

Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao

CoRR, 2021

ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow.

Leyang Xu, Zongqing Lu

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

How Video Super-Resolution and Frame Interpolation Mutually Benefit.

Chengcheng Zhou, Zongqing Lu, Linge Li, Qiangyu Yan, Jing-Hao Xue

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

Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features.

Lei Chen, Zongqing Lu, Qingmin Liao, Jing-Hao Xue

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Disparity Estimation with Scene Depth Cues.

Lei Chen, Zongqing Lu, Qingmin Liao, Haoyu Ma, Jing-Hao Xue

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation.

Xuanyu Xiao, Zongqing Lu, Jing-Hao Xue

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Region-Based Descriptor Network for Uniformly Sampled Keypoints.

Kai Lv, Zongqing Lu, Qingmin Liao

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Parallax Contextual Representations For Stereo Matching.

Hui Deng, Qingmin Liao, Zongqing Lu, Jing-Hao Xue

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Lane Line Detection based on Parallel Spatial Separation Convolution.

Xile Shen, Zongqing Lu, Youcheng Zhang, Jing-Hao Xue

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

OFR-Net: Optical Flow Refinement with a Pyramid Dense Residual Network.

Liping Zhang, Zongqing Lu, Qingmin Liao

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020

XSepConv: Extremely Separated Convolution.

Jiarong Chen, Zongqing Lu, Jing-Hao Xue, Qingmin Liao

CoRR, 2020

Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer.

Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao

Proceedings of the IEEE International Conference on Image Processing, 2020

Optical Flow Estimation Using a Non-Local Convolutional Network.

Liping Zhang, Zongqing Lu

Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

Auxiliary Edge Detection for Semantic Image Segmentation.

Wenrui Liu, Zongqing Lu, He Xu

Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

2019

A New Rotation-Invariant Deep Network for 3D Object Recognition.

Yachi Zhang, Zongqing Lu, Jing-Hao Xue, Qingmin Liao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A New Approach to Automatic Clothing Matting from Mannequins.

Bin Yuan, Zongqing Lu, Jing-Hao Xue, Qingmin Liao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal.

Zhengyang Sun, Zongqing Lu, Jing-Hao Xue, Qingmin Liao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Estimating Human Shape Under Clothing from Single Frontal View Point Cloud of a Dressed Human.

Jialu Wang, Zongqing Lu, Qingmin Liao

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Exploring Discriminative Features in Mueller Matrix Images for Electrospinning Classification.

Dongdong Ma, Zongqing Lu, Youcheng Zhang, Qingmin Liao, Hui Ma

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Binarized features with discriminant manifold filters for robust single-sample face recognition.

Wanping Zhang, Zhen Xu, Yichuan Wang, Zongqing Lu, Weifeng Li, Qingmin Liao

Signal Process. Image Commun., 2018

Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network.

Liping Zhang, Zongqing Lu, Qingmin Liao

CoRR, 2018

2017

Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition.

Weifeng Li, Yichuan Wang, Zhen Xu, Yinyan Jiang, Zongqing Lu, Qingmin Liao

Neurocomputing, 2017

Removing contaminated data for illumination-robust face recognition.

Zhen Xu, Zongqing Lu, Weifeng Li, Qingmin Liao

Proceedings of the International Conference on Systems, Signals and Image Processing, 2017

Face recognition via weighted sparse representation using metric learning.

Zongqing Lu, Bokun Xu, Nan Liu, Qingmin Liao

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Locality Sensitive Hashing based deepmatching for optical flow estimation.

Chen Wang, Zongqing Lu, Qingmin Liao, Danyi Li

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Wavelet-based single image super-resolution with an overall enhancement procedure.

Zongqing Lu, Quan Zou, Fei Zhou, Qingmin Liao

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Scale-variance pedestrian detection via an integrated system.

Zongqing Lu, Rixi Li, Qingmin Liao

Proceedings of the IEEE 6th Global Conference on Consumer Electronics, 2017

Video saliency detection based on robust seeds generation and spatio-temporal propagation.

Kai Tian, Zongqing Lu, Qingmin Liao, Na Wang

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

Learning a convolutional neural network for sleep stage classification.

Nan Liu, Zongqing Lu, Bokun Xu, Qingmin Liao

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

2016

A novel illumination-robust local descriptor based on sparse linear regression.

Zuodong Yang, Yong Wu, Wenteng Zhao, Yicong Zhou, Zongqing Lu, Weifeng Li, Qingmin Liao

Digit. Signal Process., 2016

Pedestrian detection aided by scale-discriminative network.

Zongqing Lu, Wenjian Zhang, Qingmin Liao

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Visual enhancement using sparsity-based image decomposition for low backlight displays.

Chih-Tsung Shen, Zongqing Lu, Yi-Ping Hung, Soo-Chang Pei

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Deep learning feature representation for electrocardiogram identification.

Xiafei Lei, Yue Zhang, Zongqing Lu

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2015

Texture classification using uniform rotation invariant gradient.

Wenteng Zhao, Zongqing Lu, Qingmin Liao

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Weber binary pattern and Weber ternary pattern for illumination-robust face recognition.

Zuodong Yang, Yinyan Jiang, Yong Wu, Zongqing Lu, Weifeng Li, Qingmin Liao

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014

Generalized Weber-face for illumination-robust face recognition.

Yong Wu, Yinyan Jiang, Yicong Zhou, Weifeng Li, Zongqing Lu, Qingmin Liao

Neurocomputing, 2014

Optical Flow Estimation Combining Spatial-Temporal Derivatives Based Nonlinear Filtering.

Kaihong Shi, Zongqing Lu, Qingyun She, Fei Zhou, Qingmin Liao

IEICE Trans. Inf. Syst., 2014

Multigrid Bilateral Filtering.

Qingyun She, Zongqing Lu, Weifeng Li, Qingmin Liao

IEICE Trans. Inf. Syst., 2014

Local texture based optical flow for complex brightness variations.

Chen Wang, Zongqing Lu, Qingmin Liao

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Vanishing point estimation for challenging road images.

Qingyun She, Zongqing Lu, Qingmin Liao

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2009

A Nonlinear Filtering Based Optical Flow Computation.

Zongqing Lu, Qingmin Liao, Jihong Pei

Int. J. Image Graph., 2009

A variational approach to automatic segmentation of RNFL on OCT data sets of the retina.

Zongqing Lu, Qingmin Liao, Fan Yang

Proceedings of the International Conference on Image Processing, 2009

An Effective Method for Foreground Segmentation of Video.

Jianfeng Shen, Zongqing Lu, Qingmin Liao

Proceedings of the Fifth International Conference on Image and Graphics, 2009

2006

A Method For IR Point Target Detection Based on Spatial-temporal Bilateral Filter.

Jihong Pei, Zongqing Lu, Weixin Xie

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A PDE-Based Method For Optical Flow Estimation.

Zongqing Lu, Weixin Xie

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

A Robust Optical Flow Estimation under Varying Illumination.

Zongqing Lu, Weixin Xie, Jihong Pei

Int. J. Inf. Acquis., 2005

Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms.

Zongqing Lu, Weixin Xie, Jihong Pei, Jianjun Huang

Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005