An Algorithm of Detecting Moving Foreground Based on an Improved Gaussian Mixture Model. - Mingjie Wang 002; Jesse S. Jin; Xian-Feng Han; Wei Jiang 038; Yifei Jing; Lei Gao; Liping Xiao (IGTA, 2016)

Hierarchically-Fused Generative Adversarial Network for Text to Realistic Image Synthesis. - Xin Huang; Mingjie Wang 002; Minglun Gong (CRV, 2019)

Semi-Dense Stereo Matching Using Dual CNNs. - Wendong Mao; Mingjie Wang 002; Jun Zhou 023; Minglun Gong (WACV, 2019)

Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. - Mingjie Wang 002; Jun Zhou 023; Wendong Mao; Minglun Gong (WACV, 2019)

Stochastic Multi-Scale Aggregation Network for Crowd Counting. - Mingjie Wang 002; Hao Cai 004; Jun Zhou 023; Minglun Gong (ICASSP, 2020)

ADNet: Adaptively Dense Convolutional Neural Networks. - Mingjie Wang 002; Hao Cai 004; Xin Huang; Minglun Gong (WACV, 2020)

No-reference image sharpness assessment based on discrepancy measures of structural degradation. - Hao Cai 004; Mingjie Wang 002; Wendong Mao; Minglun Gong (J. Vis. Commun. Image Represent., 2020)

Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching. - Jun Zhou 023; Wei Jin; Mingjie Wang 002; Xiuping Liu; Zhiyang Li 001; Zhaobin Liu (CoRR, 2021)

Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting. - Jun Zhou 023; Wei Jin; Mingjie Wang 002; Xiuping Liu; Zhiyang Li 001; Zhaobin Liu (CoRR, 2021)

Interlayer and intralayer scale aggregation for scale-invariant crowd counting. - Mingjie Wang 002; Hao Cai 004; Jun Zhou 023; Minglun Gong (Neurocomputing, 2021)

Fine-grained talking face generation with video reinterpretation. - Xin Huang; Mingjie Wang 002; Minglun Gong (Vis. Comput., 2021)

Fast and Accurate Normal Estimation for Point Clouds Via Patch Stitching. - Jun Zhou 023; Wei Jin; Mingjie Wang 002; Xiuping Liu; Zhiyang Li 001; Zhaobin Liu (Comput. Aided Des., 2022)

CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP. - Mingjie Wang 002; Jun Zhou 023; Hao Cai 004; Minglun Gong (CoRR, 2022)

A robust framework for multi-view stereopsis. - Wendong Mao; Mingjie Wang 002; Hui Huang 004; Minglun Gong (Vis. Comput., 2022)

Dynamic Mixture of Counter Network for Location-Agnostic Crowd Counting. - Mingjie Wang 002; Hao Cai 004; Yong Dai 001; Minglun Gong (WACV, 2023)

FER-former: Multi-modal Transformer for Facial Expression Recognition. - Yande Li; Mingjie Wang 002; Minglun Gong; Yonggang Lu; Li Liu 001 (CoRR, 2023)

STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting. - Mingjie Wang 002; Hao Cai 004; Xian-Feng Han; Jun Zhou 023; Minglun Gong (IEEE Trans. Multim., 2023)

Improvement of normal estimation for point clouds via simplifying surface fitting. - Jun Zhou 023; Wei Jin; Mingjie Wang 002; Xiuping Liu; Zhiyang Li 001; Zhaobin Liu (Comput. Aided Des., 2023)

CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP. - Mingjie Wang 002; Jun Zhou 001; Hao Cai 004; Minglun Gong (Pattern Recognit., 2023)

Language-Guided Zero-Shot Object Counting. - Mingjie Wang 002; Song Yuan; Zhuohang Li; Longlong Zhu; Eric Buys; Minglun Gong (ICME Workshops, 2024)

Enhancing Zero-shot Counting via Language-guided Exemplar Learning. - Mingjie Wang 002; Jun Zhou; Yong Dai 001; Eric Buys; Minglun Gong (CoRR, 2024)

Refining 3D Point Cloud Normal Estimation via Sample Selection. - Jun Zhou 023; Yaoshun Li; Hongchen Tan; Mingjie Wang 002; Nannan Li 002; Xiuping Liu (CoRR, 2024)

GCNet: Probing self-similarity learning for Generalized Counting Network. - Mingjie Wang 002; Yande Li; Jun Zhou; Graham W. Taylor; Minglun Gong (Pattern Recognit., 2024)

Robust point cloud normal estimation via multi-level critical point aggregation. - Jun Zhou 023; Yaoshun Li; Mingjie Wang 002; Nannan Li 002; Zhiyang Li 001; Weixiao Wang (Vis. Comput., 2024)

Open-World 3D Scene Understanding with Cross-Modal Dual Consistency Learning. - Xian-Feng Han; Chuyu Wang; Yuhang Wang; Mingjie Wang 002 (ICMR, 2025)

High-fidelity 3D Gaussian inpainting: Preserving multi-view consistency and photorealistic details. - Jun Zhou 023; Dinghao Li; Nannan Li 002; Mingjie Wang 002 (Comput. Graph., 2025)

Fine-grained text and image guided point cloud completion with CLIP model. - Jun Zhou 023; Wei Song; Mingjie Wang 002; Hongchen Tan; Nannan Li 002; Xiuping Liu (Neurocomputing, 2025)

FER-Former: Multimodal Transformer for Facial Expression Recognition. - Yande Li; Mingjie Wang 002; Minglun Gong; Yonggang Lu; Li Liu 001 (IEEE Trans. Multim., 2025)

Enhanced normal estimation of point clouds via fine-grained geometric information learning. - Wei Jin; Jun Zhou 023; Mingjie Wang 002; Nannan Li 002; Weixiao Wang; Xiuping Liu (Mach. Vis. Appl., 2025)