A Global Contour-Grouping Algorithm Based on Spectral Clustering. - Hui Yin 002; Siwei Luo; Yaping Huang (ISNN (2), 2008)

A Local Characteristic Image Restoration Based on Convolutional Neural Network. - Guohao Lyu; Hui Yin 002; Xinyan Yu 002; Siwei Luo (IEICE Trans. Inf. Syst., 2016)

A segmentation-based adaptive image enhancement method inspired by the self-adjust features of HVS. - Hui Yin 002; Guohao Lyu; Xiaoyue Luo; Chenglong Li (Int. J. Mach. Learn. Cybern., 2017)

Iterative Adversarial Inference with Re-Inference Chain for Deep Graphical Models. - Zhihao Liu; Hui Yin 002; Hua Huang (IEICE Trans. Inf. Syst., 2019)

Adaptive convolutional neural network for large change in video object segmentation. - Hui Yin 002; Lin Yang; Hongli Xu; Jin Wan (IET Comput. Vis., 2019)

Progressive residual networks for image super-resolution. - Jin Wan; Hui Yin 002; Ai-Xin Chong; Zhihao Liu (Appl. Intell., 2020)

An Automatic Visual Monitoring System for Expansion Displacement of Switch Rail. - Hui Yin 002; Zhihao Liu; Zhiyuan Xu; Liang Gao 006 (IEEE Trans. Instrum. Meas., 2020)

From Shadow Generation To Shadow Removal. - Zhihao Liu; Hui Yin 002; Xinyi Wu 002; Zhenyao Wu; Yang Mi; Song Wang 002 (CVPR, 2021)

Pop-net: A self-growth network for popping out the salient object in videos. - Hui Yin 002; Ning Chen; Lin Yang; Jin Wan (IET Comput. Vis., 2021)

ADSCN: Adaptive dense skip connection network for railway infrastructure displacement monitoring images super-resolution. - Hui Yin 002; Jin Wan; Shi-Jie Zhang; Zhiyuan Xu (Multim. Tools Appl., 2021)

Lightweight Image Super-Resolution by Multi-Scale Aggregation. - Jin Wan; Hui Yin 002; Zhihao Liu; Aixin Chong; Yanting Liu (IEEE Trans. Broadcast., 2021)

Shadow Removal by a Lightness-Guided Network With Training on Unpaired Data. - Zhihao Liu; Hui Yin 002; Yang Mi; Mengyang Pu; Song Wang 002 (IEEE Trans. Image Process., 2021)

ST-COVID: a Deep Multi-View Spatio-temporal Model for COVID-19 Forecasting. - Chang Ju; Jingping Wang; Yingjun Zhang; Hui Yin 002; Hua Huang; Hongli Xu (CACML, 2022)

Style-Guided Shadow Removal. - Jin Wan; Hui Yin 002; Zhenyao Wu; Xinyi Wu 002; Yanting Liu; Song Wang 002 (ECCV (19), 2022)

Towards improved multifactorial particle swarm optimization learning of fuzzy cognitive maps: A case study on air quality prediction. - Weiling Liang; Yingjun Zhang; Xiaoqian Liu; Hui Yin 002; Jingping Wang; Yanyan Yang 001 (Appl. Soft Comput., 2022)

Multi-source and multivariate ozone prediction based on fuzzy cognitive maps and evidential reasoning theory. - Xiaoqian Liu; Yingjun Zhang; Jingping Wang; Hua Huang; Hui Yin 002 (Appl. Soft Comput., 2022)

Multi-hierarchy feature extraction and multi-step cost aggregation for stereo matching. - Aixin Chong; Hui Yin 002; Yanting Liu; Jin Wan; Zhihao Liu; Ming Han (Neurocomputing, 2022)

Edge Aware Network for Image Dehazing. - Yanting Liu; Hui Yin 002; Jin Wan; Zhihao Liu; Aixin Chong (IEEE Signal Process. Lett., 2022)

Joint Memory Propagation and Rectification for Video Object Segmentation. - Jiale Wang; Hongli Xu; Hui Yin 002; Jin Wan; Jianhuan Chen (ICIG (4), 2023)

SA-Net: Scene-Aware Network for Cross-domain Stereo Matching. - Ai-Xin Chong; Hui Yin 002; Jin Wan; Yanting Liu; Qian-Qian Du 002 (Appl. Intell., 2023)

Enhanced spatial-temporal freedom for video frame interpolation. - Hao-Dong Li; Hui Yin 002; Zhi-Hao Liu; Hua Huang (Appl. Intell., 2023)

Multi-Stage Edge-Guided Stereo Feature Interaction Network for Stereoscopic Image Super-Resolution. - Jin Wan; Hui Yin 002; Zhihao Liu; Yanting Liu; Song Wang 002 (IEEE Trans. Broadcast., 2023)

DAGCRN: Graph convolutional recurrent network for traffic forecasting with dynamic adjacency matrix. - Zheng Shi 004; Yingjun Zhang; Jingping Wang; Jiahu Qin; Xiaoqian Liu; Hui Yin 002; Hua Huang (Expert Syst. Appl., 2023)

Estimating intrinsic characteristics of images for shadow removal. - Yanting Liu; Zhihao Liu; Hui Yin 002; Jin Wan; Zhenyao Wu; Xinyi Wu 002; Song Wang 002 (Comput. Graph., 2024)

CRFormer: A cross-region transformer for shadow removal. - Jin Wan; Hui Yin 002; Zhenyao Wu; Xinyi Wu 002; Zhihao Liu; Song Wang 002 (Image Vis. Comput., 2024)

DUNet: Dense U-blocks network for fine-grained crack detection. - Shibo Sheng; Hui Yin 002; Ying Yang; Aixin Chong; Hua Huang (Signal Image Video Process., 2024)

Reference-Based Image Dehazing With Internal and External Contrastive Learning. - Yanting Liu; Hui Yin 002; Aixin Chong; Jin Wan (IEEE Trans. Circuits Syst. Video Technol., 2024)

Adaptive Neighbor Embedding for Efficient Stereo Matching. - Ai-Xin Chong; Hui Yin 002; Jin Wan; Yanting Liu; Qian-Qian Du 002 (IEEE Trans. Intell. Veh., 2024)

SACINet: Semantic-Aware Cross-Modal Interaction Network for Real-Time 3D Object Detection. - Ying Yang; Hui Yin 002; Ai-Xin Chong; Jin Wan; Qing-Yi Liu (IEEE Trans. Intell. Veh., 2024)

SP-CrackNet: serial-parallel network with boundary contrastive learning for real-time crack detection. - Ying Xie; Hui Yin 002; Aixin Chong; Ying Yang (Signal Image Video Process., 2024)

JoCaD: a joint training method by combining consistency and diversity. - Heyan Yang; Hui Yin 002; Zhengze Yang; Yingjun Zhang (Multim. Tools Appl., 2024)

Enhanced feature pyramid for multi-view stereo with adaptive correlation cost volume. - Ming Han; Hui Yin 002; Aixin Chong; Qianqian Du 002 (Appl. Intell., 2024)

Gradual interaction network for stereo matching. - Aixin Chong; Hui Yin 002; Qianqian Du 002; Yanting Liu; Ming Han (Pattern Recognit., 2025)

SP-A I2: sparse prior guided cost construction and adaptive intra and inter scale cost aggregation for multi-view depth estimation. - Qianqian Du 002; Hui Yin 002; Ming Han (Signal Image Video Process., 2025)

EnIter: Enhancing Iterative Multi-View Depth Estimation with Universal Contextual Hints. - Qianqian Du 002; Hui Yin 002; Lang Nie; Yanting Liu; Jin Wan (ACM Trans. Multim. Comput. Commun. Appl., 2025)