Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms. - Zongqing Lu 001; Weixin Xie; Jihong Pei; Jianjun Huang 002 (WACV/MOTION, 2005)

A Robust Optical Flow Estimation under Varying Illumination. - Zongqing Lu 001; Weixin Xie; Jihong Pei (Int. J. Inf. Acquis., 2005)

A PDE-Based Method For Optical Flow Estimation. - Zongqing Lu 001; Weixin Xie (ICPR (2), 2006)

A Method For IR Point Target Detection Based on Spatial-temporal Bilateral Filter. - Jihong Pei; Zongqing Lu 001; Weixin Xie (ICPR (3), 2006)

An Effective Method for Foreground Segmentation of Video. - Jianfeng Shen; Zongqing Lu 001; Qingmin Liao (ICIG, 2009)

A variational approach to automatic segmentation of RNFL on OCT data sets of the retina. - Zongqing Lu 001; Qingmin Liao; Fan Yang (ICIP, 2009)

A Nonlinear Filtering Based Optical Flow Computation. - Zongqing Lu 001; Qingmin Liao; Jihong Pei (Int. J. Image Graph., 2009)

Vanishing point estimation for challenging road images. - Qingyun She; Zongqing Lu 001; Qingmin Liao (ICIP, 2014)

Local texture based optical flow for complex brightness variations. - Chen Wang; Zongqing Lu 001; Qingmin Liao (ICIP, 2014)

Multigrid Bilateral Filtering. - Qingyun She; Zongqing Lu 001; Weifeng Li 001; Qingmin Liao (IEICE Trans. Inf. Syst., 2014)

Optical Flow Estimation Combining Spatial-Temporal Derivatives Based Nonlinear Filtering. - Kaihong Shi; Zongqing Lu 001; Qingyun She; Fei Zhou 001; Qingmin Liao (IEICE Trans. Inf. Syst., 2014)

Generalized Weber-face for illumination-robust face recognition. - Yong Wu 003; Yinyan Jiang; Yicong Zhou; Weifeng Li 001; Zongqing Lu 001; Qingmin Liao (Neurocomputing, 2014)

Weber binary pattern and Weber ternary pattern for illumination-robust face recognition. - Zuodong Yang; Yinyan Jiang; Yong Wu 003; Zongqing Lu 001; Weifeng Li 001; Qingmin Liao (APSIPA, 2015)

Texture classification using uniform rotation invariant gradient. - Wenteng Zhao; Zongqing Lu 001; Qingmin Liao (ICIP, 2015)

Deep learning feature representation for electrocardiogram identification. - Xiafei Lei; Yue Zhang; Zongqing Lu 001 (DSP, 2016)

Visual enhancement using sparsity-based image decomposition for low backlight displays. - Chih-Tsung Shen; Zongqing Lu 001; Yi-Ping Hung; Soo-Chang Pei (ISCAS, 2016)

Pedestrian detection aided by scale-discriminative network. - Zongqing Lu 001; Wenjian Zhang; Qingmin Liao (SSCI, 2016)

A novel illumination-robust local descriptor based on sparse linear regression. - Zuodong Yang; Yong Wu 003; Wenteng Zhao; Yicong Zhou; Zongqing Lu 001; Weifeng Li 001; Qingmin Liao (Digit. Signal Process., 2016)

Learning a convolutional neural network for sleep stage classification. - Nan Liu; Zongqing Lu 001; Bokun Xu; Qingmin Liao (CISP-BMEI, 2017)

Video saliency detection based on robust seeds generation and spatio-temporal propagation. - Kai Tian; Zongqing Lu 001; Qingmin Liao; Na Wang (CISP-BMEI, 2017)

Scale-variance pedestrian detection via an integrated system. - Zongqing Lu 001; Rixi Li; Qingmin Liao (GCCE, 2017)

Wavelet-based single image super-resolution with an overall enhancement procedure. - Zongqing Lu 001; Quan Zou 001; Fei Zhou 001; Qingmin Liao (ICASSP, 2017)

Locality Sensitive Hashing based deepmatching for optical flow estimation. - Chen Wang; Zongqing Lu 001; Qingmin Liao; Danyi Li (ICASSP, 2017)

Face recognition via weighted sparse representation using metric learning. - Zongqing Lu 001; Bokun Xu; Nan Liu; Qingmin Liao (ICME, 2017)

Removing contaminated data for illumination-robust face recognition. - Zhen Xu; Zongqing Lu 001; Weifeng Li 001; Qingmin Liao (IWSSIP, 2017)

Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition. - Weifeng Li 001; Yichuan Wang; Zhen Xu; Yinyan Jiang; Zongqing Lu 001; Qingmin Liao (Neurocomputing, 2017)

Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network. - Liping Zhang; Zongqing Lu 001; Qingmin Liao (CoRR, 2018)

Binarized features with discriminant manifold filters for robust single-sample face recognition. - Wanping Zhang; Zhen Xu; Yichuan Wang; Zongqing Lu 001; Weifeng Li 001; Qingmin Liao (Signal Process. Image Commun., 2018)

Exploring Discriminative Features in Mueller Matrix Images for Electrospinning Classification. - Dongdong Ma; Zongqing Lu 001; Youcheng Zhang; Qingmin Liao; Hui Ma (ICIP, 2019)

Estimating Human Shape Under Clothing from Single Frontal View Point Cloud of a Dressed Human. - Jialu Wang; Zongqing Lu 001; Qingmin Liao (ICIP, 2019)

A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal. - Zhengyang Sun; Zongqing Lu 001; Jing-Hao Xue; Qingmin Liao (ICME, 2019)

A New Approach to Automatic Clothing Matting from Mannequins. - Bin Yuan; Zongqing Lu 001; Jing-Hao Xue; Qingmin Liao (ICME, 2019)

A New Rotation-Invariant Deep Network for 3D Object Recognition. - Yachi Zhang; Zongqing Lu 001; Jing-Hao Xue; Qingmin Liao (ICME, 2019)

Auxiliary Edge Detection for Semantic Image Segmentation. - Wenrui Liu; Zongqing Lu 001; He Xu (ICCAI, 2020)

Optical Flow Estimation Using a Non-Local Convolutional Network. - Liping Zhang; Zongqing Lu 001 (ICCAI, 2020)

Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. - Yang Chen; Zongqing Lu 001; Xuechen Zhang 003; Lei Chen; Qingmin Liao (ICIP, 2020)

XSepConv: Extremely Separated Convolution. - Jiarong Chen; Zongqing Lu 001; Jing-Hao Xue; Qingmin Liao (CoRR, 2020)

OFR-Net: Optical Flow Refinement with a Pyramid Dense Residual Network. - Liping Zhang; Zongqing Lu 001; Qingmin Liao (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Lane Line Detection based on Parallel Spatial Separation Convolution. - Xile Shen; Zongqing Lu 001; Youcheng Zhang; Jing-Hao Xue (BMVC, 2021)

Parallax Contextual Representations For Stereo Matching. - Hui Deng; Qingmin Liao; Zongqing Lu 001; Jing-Hao Xue (ICIP, 2021)

A Region-Based Descriptor Network for Uniformly Sampled Keypoints. - Kai Lv; Zongqing Lu 001; Qingmin Liao (ICIP, 2021)

CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation. - Xuanyu Xiao; Zongqing Lu 001; Jing-Hao Xue (ICIP, 2021)

Disparity Estimation with Scene Depth Cues. - Lei Chen; Zongqing Lu 001; Qingmin Liao; Haoyu Ma; Jing-Hao Xue (ICME, 2021)

Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features. - Lei Chen; Zongqing Lu 001; Qingmin Liao; Jing-Hao Xue (ICME, 2021)

How Video Super-Resolution and Frame Interpolation Mutually Benefit. - Chengcheng Zhou; Zongqing Lu 001; Linge Li; Qiangyu Yan; Jing-Hao Xue (ACM Multimedia, 2021)

ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow. - Leyang Xu; Zongqing Lu 001 (PRCV (1), 2021)

SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes. - Jiacheng Chen; Bin-Bin Gao; Zongqing Lu 001; Jing-Hao Xue; Chengjie Wang; Qingmin Liao (CoRR, 2021)

Guest Editorial: Special issue on deep learning with small samples. - Jing-Hao Xue; Jufeng Yang; Xiaoxu Li; Yan Yan 001; Yujiu Yang; Zongqing Lu 001; Zhanyu Ma (Neurocomputing, 2021)

Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN. - Youcheng Zhang; Zongqing Lu 001; Dongdong Ma; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Intell. Transp. Syst., 2021)

Efficient Semantic Segmentation via Self-Attention and Self-Distillation. - Shumin An; Qingmin Liao; Zongqing Lu 001; Jing-Hao Xue (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Learning in Lane Marking Detection: A Survey. - Youcheng Zhang; Zongqing Lu 001; Xuechen Zhang 003; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Intell. Transp. Syst., 2022)

Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer. - Kai Tian; Mengze Pan; Zongqing Lu 001; Qingmin Liao (ICANN (6), 2023)

LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. - Jiawei Xu; Zongqing Lu 001; Qingmin Liao (ICIP, 2023)

Patchmatch Stereo++: Patchmatch Binocular Stereo with Continuous Disparity Optimization. - Wenjia Ren; Qingmin Liao; Zhijing Shao; Xiangru Lin; Xin Yue; Yu Zhang 166; Zongqing Lu 001 (ACM Multimedia, 2023)

Elucidating the solution space of extended reverse-time SDE for diffusion models. - Qinpeng Cui; Xinyi Zhang; Zongqing Lu 001; Qingmin Liao (CoRR, 2023)

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. - Jiacheng Chen; Bin-Bin Gao; Zongqing Lu 001; Jing-Hao Xue; Chengjie Wang; Qingmin Liao (IEEE Trans. Multim., 2023)

Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-supervised Learning. - Xin Yue; Zongqing Lu 001; Xiangru Lin; Wenjia Ren; Zhijing Shao; Haonan Hu; Yu Zhang 166; Qingmin Liao (CVPR Workshops, 2024)

LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. - Siwei Li; Yifan Yang 004; Yifei Shen; Fangyun Wei; Zongqing Lu 001; Lili Qiu; Yuqing Yang 001 (EMNLP (Findings), 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 001; Yuxi Zhao; Hanqing Wei; Jingrui Ye; Yu Zhang 166; Zhijing Shao (ICME, 2024)

FusionDreamer: Consistent Images Generation from Sparse-view Images. - Yige Wang; Risheng Huang; Haozhi Huang 001; Zongqing Lu 001 (ICME, 2024)

MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation. - Li Dinghang; Zongqing Lu 001; Weiliang Zheng; Qingmin Liao; Fan Lyu (IJCNN, 2024)

Multi-Dimensional Attention on Cost Volume for Stereo Matching. - Zhou Jiale; Wenqin Huang; Qingmin Liao; Zongqing Lu 001; Xiaoqian Liu (IJCNN, 2024)

Cross-Patch Relation Enhanced for Weakly Supervised Semantic Segmentation. - Huiqing Su; Wenqin Huang; Qingmin Liao; Zongqing Lu 001 (IJCNN, 2024)

AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation. - Teng Li; Liwen Zhang; Youcheng Zhang; ZijunHu; Pengcheng Pi; Zongqing Lu 001; Qingmin Liao; Zhe Ma (NeurIPS, 2024)

Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. - Siwei Li; Yifan Yang 004; Yifei Shen; Fangyun Wei; Zongqing Lu 001; Lili Qiu; Yuqing Yang 001 (CoRR, 2024)

Dual Correlation Network for Efficient Video Semantic Segmentation. - Shumin An; Qingmin Liao; Zongqing Lu 001; Jing-Hao Xue (IEEE Trans. Circuits Syst. Video Technol., 2024)

LNMVSNet: A Low-Noise Multi-View Stereo Depth Inference Method for 3D Reconstruction. - Weiming Luo; Zongqing Lu 001; Qingmin Liao (Sensors, 2024)

UV Gaussians: Joint learning of mesh deformation and Gaussian textures for human avatar modeling. - Yujiao Jiang; Qingmin Liao; Xiaoyu Li 002; Li Ma; Qi Zhang 029; Chaopeng Zhang; Zongqing Lu 001; Ying Shan (Knowl. Based Syst., 2025)