An Integrated Navigation System of NGIMU/ GPS Using a Fuzzy Logic Adaptive Kalman Filter. - Mingli Ding; Qi Wang (FSKD (1), 2005)

Study of Dynamic Decoupling Method for Multi-axis Sensor Based on Niche Genetic Algorithm. - Mingli Ding; Dongxue Dai; Qi Wang (Australian Conference on Artificial Intelligence, 2006)

The Application of Self-adaptive Kalman filter in NGIMU/GPS Integrated Navigation System. - Mingli Ding; Qingdong Zhou; Qi Wang (ISDA (2), 2006)

Approach to Nonlinear Blind Source Separation Based on Niche Genetic Algorithm. - Kai Song 001; Qi Wang 034; Mingli Ding (ISDA (1), 2006)

A New Method for Accelerometer Dynamic Compensation Based on CMAC. - Mingli Ding; Qingdong Zhou; Kai Song (ISNN (1), 2007)

Blind Source Separation in Post-nonlinear Mixtures Using Natural Gradient Descent and Particle Swarm Optimization Algorithm. - Kai Song 001; Mingli Ding; Qi Wang 034; Wenhui Liu (ISNN (3), 2007)

Localization and tracking algorithm for mobile robot based on wireless sensor network. - Zhen Liu; Mingli Ding; Qi Wang (Kybernetes, 2010)

Research on Static Decoupling Method of Non-Gyro Micro Inertial Measurement Unit. - Mingli Ding; Dongmei Yang; Jindong Zhao; Lili Zhuang (CCTA (1), 2011)

Navigation algorithm for WSN mobile node on MH particle filtering improvement. - Mingli Ding; Dongmei Yang; Lili Zhuang; Xiaobing Li (Int. J. Sens. Networks, 2013)

Reading recognition of pointer meter based on pattern recognition and dynamic three-points on a line. - Yongqiang Zhang 007; Mingli Ding; Wuyifang Fu; Yongqiang Li (ICMV, 2016)

Finding Tiny Faces in the Wild With Generative Adversarial Network. - Yancheng Bai; Yongqiang Zhang 007; Mingli Ding; Bernard Ghanem (CVPR, 2018)

W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection. - Yongqiang Zhang 007; Yancheng Bai; Mingli Ding; Yongqiang Li; Bernard Ghanem (CVPR, 2018)

SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network. - Yancheng Bai; Yongqiang Zhang 007; Mingli Ding; Bernard Ghanem (ECCV (13), 2018)

Weakly-supervised object detection via mining pseudo ground truth bounding-boxes. - Yongqiang Zhang 007; Yancheng Bai; Mingli Ding; Yongqiang Li; Bernard Ghanem (Pattern Recognit., 2018)

Group Convolutional Neural Networks for Hyperspectral Image Classification. - Xian Li 001; Mingli Ding; Aleksandra Pizurica (ICIP, 2019)

Corrigendum to 'Weakly-supervised Object Detection via Mining Pseudo Ground Truth Bounding-boxes' [Pattern Recognition 84 (2018) 68-81]. - Yongqiang Zhang 007; Yancheng Bai; Mingli Ding; Yongqiang Li; Bernard Ghanem (Pattern Recognit., 2019)

Detecting small faces in the wild based on generative adversarial network and contextual information. - Yongqiang Zhang 007; Mingli Ding; Yancheng Bai; Bernard Ghanem (Pattern Recognit., 2019)

Learning a strong detector for action localization in videos. - Yongqiang Zhang 007; Mingli Ding; Yancheng Bai; Dandan Liu; Bernard Ghanem (Pattern Recognit. Lett., 2019)

Bi-Directional Generation for Unsupervised Domain Adaptation. - Guanglei Yang; Haifeng Xia; Mingli Ding; Zhengming Ding (AAAI, 2020)

Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild. - Yongqiang Zhang 007; Yancheng Bai; Mingli Ding; Bernard Ghanem (Int. J. Comput. Vis., 2020)

Research on the tenacity survivability of wireless sensor networks. - Jintao Yu; Zhen Yu; Mingli Ding; Wei Ye (J. Ambient Intell. Humaniz. Comput., 2020)

Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification. - Xian Li 001; Mingli Ding; Aleksandra Pizurica (IEEE Trans. Geosci. Remote. Sens., 2020)

Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction. - Guanglei Yang; Hao Tang 005; Mingli Ding; Nicu Sebe; Elisa Ricci 001 (ICCV, 2021)

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection. - Na Dong; Yongqiang Zhang 007; Mingli Ding; Gim Hee Lee (NeurIPS, 2021)

Mars Image Super-Resolution Based on Generative Adversarial Network. - Cong Wang; Yin Zhang; Yongqiang Zhang 007; Rui Tian; Mingli Ding (IEEE Access, 2021)

Variational Structured Attention Networks for Deep Visual Representation Learning. - Guanglei Yang; Paolo Rota; Xavier Alameda-Pineda; Dan Xu 002; Mingli Ding; Elisa Ricci 001 (CoRR, 2021)

Transformers Solve the Limited Receptive Field for Monocular Depth Prediction. - Guanglei Yang; Hao Tang 005; Mingli Ding; Nicu Sebe; Elisa Ricci 001 (CoRR, 2021)

Transformer-Based Source-Free Domain Adaptation. - Guanglei Yang; Hao Tang 005; Zhun Zhong; Mingli Ding; Ling Shao 001; Nicu Sebe; Elisa Ricci 001 (CoRR, 2021)

Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation. - Guanglei Yang; Zhun Zhong; Hao Tang 005; Mingli Ding; Nicu Sebe; Elisa Ricci 001 (CoRR, 2021)

Global and Local Alignment Networks for Unpaired Image-to-Image Translation. - Guanglei Yang; Hao Tang 005; Humphrey Shi; Mingli Ding; Nicu Sebe; Radu Timofte; Luc Van Gool; Elisa Ricci 001 (CoRR, 2021)

GMSRI: A Texture-Based Martian Surface Rock Image Dataset. - Cong Wang; Zian Zhang; Yongqiang Zhang 007; Rui Tian; Mingli Ding (Sensors, 2021)

KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild. - Yongqiang Zhang 007; Yancheng Bai; Mingli Ding; Shibiao Xu; Bernard Ghanem (IEEE Trans. Neural Networks Learn. Syst., 2021)

Local Matrix Stack Graph Convolutional Networks for Classification. - Jian Kong; Xuehan Zhong; Mingli Ding (DSA, 2022)

One-stage object detection knowledge distillation via adversarial learning. - Na Dong; Yongqiang Zhang 007; Mingli Ding; Shibiao Xu; Yancheng Bai (Appl. Intell., 2022)

Bi-directional class-wise adversaries for unsupervised domain adaptation. - Guanglei Yang; Mingli Ding; Yongqiang Zhang 007 (Appl. Intell., 2022)

Open World DETR: Transformer based Open World Object Detection. - Na Dong; Yongqiang Zhang 007; Mingli Ding; Gim Hee Lee (CoRR, 2022)

Fully Group Convolutional Neural Networks for Robust Spectral-Spatial Feature Learning. - Xian Li 001; Mingli Ding; Aleksandra Pizurica (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral Feature Fusion Networks With Dual Attention for Hyperspectral Image Classification. - Xian Li 001; Mingli Ding; Aleksandra Pizurica (IEEE Trans. Geosci. Remote. Sens., 2022)

Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. - Na Dong; Yongqiang Zhang 007; Mingli Ding; Gim Hee Lee (AAAI, 2023)

Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data. - Na Dong; Yongqiang Zhang 007; Mingli Ding; Gim Hee Lee (ICCV, 2023)

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. - Guanglei Yang; Enrico Fini; Dan Xu 002; Paolo Rota; Mingli Ding; Moin Nabi; Xavier Alameda-Pineda; Elisa Ricci 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. - Guanglei Yang; Enrico Fini; Dan Xu 002; Paolo Rota; Mingli Ding; Hao Tang 005; Xavier Alameda-Pineda; Elisa Ricci 001 (IEEE Trans. Multim., 2023)

ThumbDet: One thumbnail image is enough for object detection. - Yongqiang Zhang 007; Yin Zhang; Rui Tian; Zian Zhang; Yancheng Bai; Wangmeng Zuo; Mingli Ding (Pattern Recognit., 2023)

Self-training transformer for source-free domain adaptation. - Guanglei Yang; Zhun Zhong; Mingli Ding; Nicu Sebe; Elisa Ricci 001 (Appl. Intell., 2023)

Class-incremental object detection. - Na Dong; Yongqiang Zhang 007; Mingli Ding; Yancheng Bai (Pattern Recognit., 2023)

Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection. - Yueyi Zhu; Yongqiang Zhang 007; Mingli Ding; Wangmeng Zuo (IEEE Trans. Circuits Syst. Video Technol., 2023)

An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images. - Xian Li 001; Mingli Ding; Yanfeng Gu; Aleksandra Pizurica (IEEE Trans. Neural Networks Learn. Syst., 2023)

ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection. - Yin Zhang; Yongqiang Zhang 007; Zian Zhang; Man Zhang; Rui Tian; Mingli Ding (AAAI, 2024)

Geo-ConvGRU: Geographically Masked Convolutional Gated Recurrent Unit for Bird-Eye View Segmentation. - Guanglei Yang; Yongqiang Zhang; Wanlong Li; Yu Tang; Weize Shang; Feng Wen; Hongbo Zhang 004; Mingli Ding (CoRR, 2024)

R-CCF: region-aware continual contrastive fusion for weakly supervised object detection. - Yongqiang Zhang 007; Rui Tian; Yin Zhang; Zian Zhang; Yancheng Bai; Mingli Ding; Wangmeng Zuo (Appl. Intell., 2024)

Vital information is only worth one thumbnail: Towards efficient human pose estimation. - Zian Zhang; Yongqiang Zhang 007; Yin Zhang; Rui Tian; Mingli Ding (Pattern Recognit., 2024)

Towards Non Co-occurrence Incremental Object Detection with Unlabeled In-the-Wild Data. - Na Dong; Yongqiang Zhang 007; Mingli Ding; Gim Hee Lee (Int. J. Comput. Vis., 2024)